The AI job market moves fast. We keep up so you don't have to.

false

About SunoSuno is a music company built to amplify imagination. Powered by the world’s most advanced AI music model, Suno offers an unparalleled creative platform that includes Suno Studio, a breakthrough generative audio workstation. From shower-singers to aspiring songwriters to seasoned artists, Suno empowers a global community to create, share, and discover music—unlocking the joy of musical expression for all. About the RoleWe're looking for someone to lead recommendations at Suno. You'll be instrumental in building Suno's music discovery and recommendation systems. You'll help define how millions of users discover, create, and engage with music on our platform by shaping both the systems and the team that makes it happen.This role is for someone who has deep experience with recommendation systems at scale and is energized about building a new and better one. You're excited to apply and adapt your expertise in a new context and grow an excellent team to get there.Check out the Suno version of this role here! What You'll DoShape Suno's recommendation vision, strategy, and technical directionPartner with leaders across product, engineering, and research to decide how recommendations evolve with our platformLead the building of a full recommendations system from the ground up, from prototyping and evaluating approaches to experimentation to deploying at scaleBuild and grow a recommendations team What You'll Need5+ years building recommendation systems at scale, with at least 2+ years leading teams and owning the development of recommendation systems in productionDeep technical expertise of what's cutting edge and the ability to get there through practical, iterative stepsStrong collaboration skills and the ability to work with leaders across the company to influence directionPassion for what Suno is building and excitement about defining the future of music discoveryAdditional Notes: Applicants must be eligible to work in the US.This is an onsite role in our SF office Perks & Benefits for Full-Time EmployeesGenerous Company Equity Package401(k) with 3% Employer Match & Roth 401(k)Unlimited PTO & Sick TimeMedical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)Continued / Creative Education StipendGenerous Commuter AllowanceIn-Office Lunch (5 days per week)Suno is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the Massachusetts Fair Chance in Employment Act, NYC Fair Chance Act, LA City Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.

false

Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture. About Superhuman Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company’s products include Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here. The Opportunity To achieve our ambitious goals, we’re looking for an Applied Research Scientist with a keen interest and background in natural language processing (NLP), machine learning (ML), and deep learning (DL) to join our Agents team. The team builds user-facing features that work in all Superhuman applications. We help our users write better, faster, and more effectively while working in big groups. The person in this role will bring their unique perspective to our product development process by contributing to ideation and defining the solution space. Based on their deep grasp of ML/DL/NLP concepts, the Applied Researcher will define the approach to solving the complex problems. The role will also build the intelligent functionality of our product offerings. Superhuman's engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog. Your Impact As an Applied Research Scientist, you will have the opportunity to harness your passion for building exciting new product offerings that will impact millions of lives. To do this, you'll need to stay up-to-date on the quickly evolving field of NLP while also focusing on building production systems. In this role, you will: Develop state-of-the-art tools for correcting, improving, and enhancing written English using various NLP, ML, and DL technologies. Productize and ship these features into Superhuman's product offerings, which millions of users use daily. Stay up-to-date with the latest research trends that could improve our product. Contribute to the research strategy and technical culture of the company. Attract professionals in the industry to build a best-in-class research team that creates a state-of-the-art writing and communication assistant. Qualifications Strong theoretical foundation in ML/DL algorithms and methodologies. Minimum 6–7 years of industry experience in researching and developing ML/DL technologies for real-world products. Additional 4–5 years of research experience in an academic environment (PhD or equivalent research background preferred). Deep experience in Natural Language Processing (NLP), Generative AI, and Large Language Models (LLMs). Proven track record of applying ML/DL algorithms effectively to NLP tasks. Strong research mentality with a math-oriented mindset and ability to innovate in cutting-edge areas. Proficiency in at least one modern programming language (preferably Python). Demonstrated ability to translate research into scalable, production-ready solutions. Excellent command of spoken and written English, knowledge of additional languages is a plus. Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments. Support for you, professionally and personally Professional growth: We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We also support professional development and advancement with training, coaching, and regular feedback. A connected team: Superhuman builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Superhuman Circles, which promote connection among those with shared identities including BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs.  Comprehensive benefits for candidates based in Germany: Superhuman offers all team members competitive pay along with a benefits package encompassing life care (including mental health care and risk benefits) and ample and defined time off. We also offer support to set up a home office, wellness and pet care stipends, learning and development opportunities, and more. Relocation Support: Superhuman provides comprehensive relocation support to make your move to Berlin seamless. Our package includes visa assistance, destination services to help you and your family settle in comfortably, and a relocation bonus to cover additional expenses, such as temporary housing. We encourage you to apply At Superhuman, we value our differences, and we encourage all to apply. Superhuman is an equal-opportunity company. We do not discriminate on the basis of race or ethnic origin, religion or belief, gender, disability, sexual identity, or age. For more details about the personal data Superhuman collects during the recruitment process, for what purposes, and how you can address your rights, please see the Superhuman Data Privacy Notice for Candidates here. #LI-Hybrid  

false

About CartesiaOur mission is to build the next generation of AI: ubiquitous, interactive intelligence that runs wherever you are. Today, not even the best models can continuously process and reason over a year-long stream of audio, video and text—1B text tokens, 10B audio tokens and 1T video tokens—let alone do this on-device.We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.About The RoleTo build truly global AI, our models must be trained on data that reflects the world's diversity of languages and cultures. We are searching for a Machine Learning Engineer to own the quality and coverage of the data behind our models. You will be our in-house expert on global data, ensuring our models perform exceptionally well across dozens of languages. You have a keen eye for linguistic nuance, and a passion for building inclusive and representative datasets at scale.Your ImpactDesign and build large-scale datasets for model training.Build evaluations of speech models, both via manual annotation and at scale with automated metrics.Implement techniques for steering data generation to improve model intelligence through data and mitigate bias.Build automated quality control systems to validate and filter generated dataPartner with product teams to ensure support for key languages and markets.What You BringExperience building or working with large multilingual datasetsExperience with generative models (speech, text, or multimodal).Ability to help guide human annotation and evaluation across multiple languages.Strong applied ML background with a focus on data-centric approaches.Excitement for building scalable systems that bridge research and production.What We Offer🍽 Lunch, dinner and snacks at the office.🏥 Fully covered medical, dental, and vision insurance for employees.🏦 401(k).✈️ Relocation and immigration support.🦖 Your own personal Yoshi.Our Culture🏢 We’re an in-person team based out of San Francisco. We love being in the office, hanging out together, and learning from each other every day.🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way.🤝 We support each other. We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed.

false

Genies is an avatar technology company powering the next era of interactive digital identity through AI companions. With the Avatar Framework and intuitive creation tools, Genies enables developers, talent, and creators to generate and deploy game-ready AI companions. The company’s technology stack supports full customization, AI-generated fashion and props, and seamless integration of user-generated content (UGC). Backed by investors including Bob Iger, Silver Lake, BOND, and NEA, Genies’ mission is to become the visual and interactive layer for the LLM-powered internet. About the opportunity We are looking for a Backend Software Engineer Intern (LLM) to join our AI Engineering Team based in San Francisco, CA or Los Angeles, CA. The team is responsible for developing the backend infrastructure powering the Genies Avatar AI framework. You will contribute to the next generation of AI 3D avatar entertainment experience, and be involved with designing, coding, and testing software according to the requirements and system plans. You will be expected to collaborate with senior engineers and other team members to develop software solutions, troubleshoot issues, and maintain the quality of our software. You will also be responsible for documenting their work for future reference and improvement. Our internship program has a minimum duration of 12 weeks. Key Responsibilities Develop and deploy LLM agent systems within our AI-powered avatar framework. Design and implement scalable and efficient backend systems to support AI applications Collaborate with AI and NLP experts to integrate LLM, and LLM-based systems and algorithms into our avatar ecosystem. Work with Docker, Kubernetes, and AWS for AI model deployment and scalability Contribute to code reviews, debugging, and testing to ensure high-quality deliverables. Minimum Qualifications Currently pursuing OR a recent graduate from a  Master's degree or Bachelor's in Computer Science, Engineering, Machine Learning, or related field. Course or internship experience related to the following areas : Operating Systems, Data Structures & Algorithms, Machine Learning Strong programming skills in Python, Java, or C++ Excellent written and verbal communication skills Basic understanding of AI/LLM concepts and enthusiasm for learning advanced techniques. Preferred Qualifications Experience in building ML /LLM powered software systems. Previous Computer Science/Software Engineering Internship experience Solid understanding of LLM agents, retrieval-augmented generation (RAG), and prompt engineering. Experience with AWS, Docker and Kubernetes Experience with  CI/CD pipelines Experience with API design, schema design Here's why you'll love working at Genies: Salary $40-$50 per hour. You'll work with a team that you’ll be able to learn from and grow with, including support for your own professional development You'll be at the helm of your own career, shaping it with your own innovative contributions to a nascent team and product with flexible hours and a hybrid(office+home) policy You'll enjoy the culture and perks of a startup, with the stability of being well funded  Flexible paid time off, sick time, and paid company holidays, in addition to paid parental leave, bereavement leave, and jury duty leave for full-time employees Health & wellness support through programs such as monthly wellness reimbursement   Choice of MacBook or windows laptop Genies is an equal opportunity employer committed to promoting an inclusive work environment free of discrimination and harassment. We value diversity, inclusion, and aim to provide a sense of belonging for everyone. 

false

Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?We’re a fast-growing startup building production-grade AI agents for enterprise customers at scale. We’re looking for Applied AI Engineers who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs)—from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows.In this role, you’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one.You’ll collaborate closely with customers, product, and platform teams, and help shape how agentic systems are built, evaluated, and deployed at scale.What You’ll DoWork with enterprise customers and internal teams to turn business workflows into scalable, production-ready agentic AI systems.Design and build LLM-powered agents that reason, plan, and act across tools and data sources with enterprise-grade reliability.Balance rapid iteration with enterprise requirements, evolving prototypes into stable, reusable solutions.Define and apply evaluation and quality standards to measure success, failures, and regressions.Debug real-world agent behavior and systematically improve prompts, workflows, tools, and guardrails.Contribute to shared frameworks and patterns that enable consistent delivery across customers.Required Skills & ExperienceBachelor’s degree in Computer Science or a related technical field.Strong programming skills in Python and/or JavaScript/TypeScript.3+ years of experience building and shipping production software; 2+ years working with LLMs or AI APIs.Hands-on experience with modern LLMs (e.g., GPT, Claude, Gemini), vector databases, and agent/orchestration frameworks (e.g., LangChain, LangGraph, LlamaIndex, or custom solutions).Practical experience with RAG, agent workflows, evaluation, and performance optimization.Strong agent design skills, including prompt engineering, tool use, multi-step agent workflows (e.g. ReAct), and failure handling.Ability to reason about and balance trade-offs between customization and reuse, as well as autonomy, control, cost, latency, and risk.Strong communication skills and experience leading technical discussions with customers or partners.Nice-to-HaveExperience working in a fast-moving startup environment.Prior work delivering AI or automation solutions to enterprise customers.Familiarity with human-in-the-loop workflows, fine-tuning, or LLM evaluation techniques.Experience with cloud deployment and production operations for AI systems.Background in applied ML, NLP, or decision systems.Additional RequirementsStrong written and verbal communication skills.Ability and interest to travel up to 25%, flexible.Why Join UsBuild production-grade AI agents used in real enterprise workflows.Operate at scale while retaining end-to-end ownership.Work on hard problems in agent design, evaluation, and reliability.Shape shared platforms and standards, not just individual features.Move fast with a high bar for quality, safety, and reliability.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

false

Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why This Role Is DifferentThis is not a typical “Applied Scientist” or “ML Engineer” role. As a Member of Technical Staff, Applied ML, you will:Work directly with enterprise customers on problems that push LLMs to their limits. You’ll rapidly understand customer domains, design custom LLM solutions, and deliver production-ready models that solve high-value, real-world problems.Train and customize frontier models — not just use APIs. You’ll leverage Cohere’s full stack: CPT, post-training, retrieval + agent integrations, model evaluations, and SOTA modeling techniques.Influence the capabilities of Cohere’s foundation models. Techniques, datasets, evaluations, and insights you develop for customers will directly shape the next generation of Cohere’s frontier models.Operate with an early-startup level of ownership inside a frontier-model company. This role combines the breadth of an early-stage CTO with the infrastructure and scale of a deep-learning lab.Wear multiple hats, set a high technical bar, and define what Applied ML at Cohere becomes. Few roles in the industry combine application, research, customer-facing engineering, and core-model influence as directly as this one.What You’ll DoTechnical Leadership & Solution DesignContribute to the design and delivery of custom LLM solutions for enterprise customers.Translate ambiguous business problems into well-framed ML problems with clear success criteria and evaluation methodologies.Modeling, Customization & Foundations ContributionBuild custom models using Cohere’s foundation model stack, CPT recipes, post-training pipelines (including RLVR), and data assets.Develop SOTA modeling techniques that directly enhance model performance for customer use-cases.Contribute improvements back to the foundation-model stack — including new capabilities, tuning strategies, and evaluation frameworks.Customer-Facing Technical ImpactWork as part of Cohere’s customer facing MLE team to identify high-value opportunities where LLMs can unlock transformative impact to our enterprise customers.You May Be a Good Fit If You Have:Technical FoundationsStrong ML fundamentals and the ability to frame complex, ambiguous problems as ML solutions.Fluency with Python and core ML/LLM frameworks.Experience working with (or the ability to learn) large-scale datasets and distributed training or inference pipelines.Understanding of LLM architectures, tuning techniques (CPT, post-training), and evaluation methodologies.Demonstrated ability to meaningfully shape LLM performance.Experience & LeadershipA broad view of the ML research landscape and a desire to push the state of the art.MindsetBias toward action, high ownership, and comfort with ambiguity.Humility and strong collaboration instincts.A deep conviction that AI should meaningfully empower people and organizations.Join UsThis is a pivotal moment in Cohere’s history. As an MTS in Applied ML, you will define not only what we build — but how the world experiences AI. If you're excited about building custom models, solving generational problems for global organizations, and shaping frontier-model capabilities, we’d love to meet you.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

false

Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why This Role Is DifferentThis is not a typical “Applied Scientist” or “ML Engineer” role. As a Member of Technical Staff, Applied ML, you will:Work directly with enterprise customers on problems that push LLMs to their limits. You’ll rapidly understand customer domains, design custom LLM solutions, and deliver production-ready models that solve high-value, real-world problems.Train and customize frontier models — not just use APIs. You’ll leverage Cohere’s full stack: CPT, post-training, retrieval + agent integrations, model evaluations, and SOTA modeling techniques.Influence the capabilities of Cohere’s foundation models. Techniques, datasets, evaluations, and insights you develop for customers will directly shape the next generation of Cohere’s frontier models.Operate with an early-startup level of ownership inside a frontier-model company. This role combines the breadth of an early-stage CTO with the infrastructure and scale of a deep-learning lab.Wear multiple hats, set a high technical bar, and define what Applied ML at Cohere becomes. Few roles in the industry combine application, research, customer-facing engineering, and core-model influence as directly as this one.What You’ll DoTechnical Leadership & Solution DesignLead the design and delivery of custom LLM solutions for enterprise customers.Translate ambiguous business problems into well-framed ML problems with clear success criteria and evaluation methodologies.Modeling, Customization & Foundations ContributionBuild custom models using Cohere’s foundation model stack, CPT recipes, post-training pipelines (including RLVR), and data assets.Develop SOTA modeling techniques that directly enhance model performance for customer use-cases.Contribute improvements back to the foundation-model stack — including new capabilities, tuning strategies, and evaluation frameworks.Customer-Facing Technical ImpactWork closely with enterprise customers to identify high-value opportunities where LLMs can unlock transformative impact.Provide technical leadership across discovery, scoping, modeling, deployment, agent workflows, and post-deployment iteration.Establish evaluation frameworks and success metrics for custom modeling engagements.Team Mentorship & Organizational ImpactMentor engineers across distributed teams.Drive clarity in ambiguous situations, build alignment, and raise engineering and modeling quality across the organization.You May Be a Good Fit If You Have:Technical FoundationsStrong ML fundamentals and the ability to frame complex, ambiguous problems as ML solutions.Fluency with Python and core ML/LLM frameworks.Experience working with large-scale datasets and distributed training or inference pipelines.Understanding of LLM architectures, tuning techniques (CPT, post-training), and evaluation methodologies.Demonstrated ability to meaningfully shape LLM performance.Experience & LeadershipExperience engaging directly with customers or stakeholders to design and deliver ML-powered solutions.A track record of technical leadership at a team level.A broad view of the ML research landscape and a desire to push the state of the art.MindsetBias toward action, high ownership, and comfort with ambiguity.Humility and strong collaboration instincts.A deep conviction that AI should meaningfully empower people and organizations.Join UsThis is a pivotal moment in Cohere’s history. As an MTS in Applied ML, you will define not only what we build — but how the world experiences AI. If you're excited about building custom models, solving generational problems for global organizations, and shaping frontier-model capabilities, we’d love to meet you.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

false

About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, France, Singapore, and Japan.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll doSierra’s engineering team has ~40 mostly senior engineers, including Mihai, Belinda, Arya, and Wei. We work in small, autonomous teams oriented around customer problems. Here are some examples of what you’ll work on:Simulation & Benchmarking: How can we craft a simulation platform to test AI agents against every real-world scenario imaginable? (See 𝜏-Bench)Content Management: How do we create intuitive, no-code tools that allow anyone to guide and test AI agents?Agent Development Lifecycle: How do we adapt traditional software development methodologies to accommodate AI agents’ non-deterministic behavior, natural language interactions, and reliance on large language models? (See Sierra’s ADLC)Generative Agent Development: How do we accelerate agent creation using generative tools like Cursor and Claude Code? Can we build self-improving systems based on real-world interactions, customer-driven feedback, and self-play?What you'll bringA passion for being on the frontier of AI products.Motivation and high-agency to drive outcomes - we have a high-autonomy culture and each team member has lots of agency to overcome obstacles and achieve customer impact.Alignment to our company values throughout your work, notably finding a balance between Craftsmanship, Customer Obsession, and Competitive Intensity.4+ years hands-on experience building production products and systems.Experience and comfort to build and ship full-stack solutions.Degree in Computer Science or related field, or equivalent professional experience.Even better...Experience building AI-powered products.A sharp eye for design.Experience with Go and Typescript.Experience building developer tooling, programming languages, or databases.Leadership experience on technical projects or teams.Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

false

Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?In this role as a Solutions Architect at Cohere, you will play a significant role in growing our business. In this dynamic role, you will need to be both a strategic thinker and a hands-on doer. You will take a hands-on approach to building customer demos and proof of concepts that showcase the business value of our platform. As the technical relationship owner, you will collaborate with stakeholders to understand their business objectives and translate those into technical solutions. You will take ownership of the customer narrative, serving as the voice of the customer and acting as a liaison between the customer and our product team. Additionally, you will provide guidance on best practices for using Cohere, identify areas for improvement within the platform, and cultivate technical champions within customer organizations to drive adoption and gather feedback to enhance our products.In this role, you will:Develop and deliver cutting-edge agentic AI solutions utilizing Cohere’s foundation models and Agentic AI Foundry - North.Architect scalable, secure, and customizable NLP and generative AI solutions tailored to enterprise customer needs.Collaborate with customers to understand complex workflows, design pilots, and translate business requirements into technical solutions encompassing model fine-tuning, custom agents, and agent orchestration.Support deployment and integration of large language models (LLMs) and custom solutions into production environments using Kubernetes, Docker, and cloud infrastructures, ensuring high performance and security.Lead technical engagements, including deep dives into AI architectures, workshop facilitation, and establishing best practices for agent-based AI systems and model customization.Work with product development to provide customer feedback on agentic AI capabilities, contribute to product enhancements, and help shape future features.This career opportunity may be a good match for you if you possess:5+ years of experience in AI/ML solution architecture, with demonstrated expertise in agentic AI, model customization, and deploying tailored AI models in enterprise contexts.Strong hands-on skills with Python, Jupyter Notebooks, and cloud-native deployment frameworks such as Kubernetes, Docker, Cloud managed AI services like AWS Sagemaker, Bedrock, or Azure AI Foundry or Google Vertex AI.Experience in designing and deploying “agentified” AI workflows, that involve multiple interconnected models or agents, to solve business challenges.Hands-on experience building on agent orchestration frameworks like Cohere North and deploying custom agents to production.Familiarity with model fine-tuning methodologies, and the development of AI agents optimized for specific workflows and enterprise needs.In-depth understanding of the strengths, weaknesses, and operational considerations of generative LLMs, with experience in customizing and orchestrating these models.Excellent communication skills to articulate complex AI architectures to both technical stakeholders and executive audiences.Nice to have: Background in building and managing scalable AI/ML ecosystems, with knowledge of multi-cloud deployment strategies.Nice to have: Familiarity with security standards for deploying agent-based AI solutions, including data privacy, model safety, and access controls.Nice to have: Experience working in a startup-like context.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

false

About us:At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same. Job Description:We're hiring a Staff or Senior Software Engineer to lead the design and development of our backend APIs—powering scalable, secure, high-performance GenAI services. But more than just a backend expert, we're looking for a builder with a 100x mindset. We expect our engineers to leverage modern AI tools (like GitHub Copilot, GPT- based assistants, etc.) to deliver 10x+ outcomes through leverage, not just effort. We believe the best engineers who harness AI don't just become 10x—they become 1000x. But without human expertise, AI is just garbage in, garbage out. It's the fusion of sharp minds and powerful tools that creates breakthrough results. If you're excited by the idea of engineering at the edge of AI innovation—and using those tools to level yourself and others up—you'll thrive here.Responsibilities:Design and build robust RESTful and GraphQL APIs using Python, Go, or Rust Architect scalable systems for real-time AI/ML-powered applicationsPartner with ML engineers and frontend developers to ship intelligent, user- facing featuresEnsure performance, security, and reliability across hybrid (cloud/on-prem) environmentsLead technical architecture and long-term backend strategyDrive best practices for code quality, observability, and API designMentor engineers and help grow a high-performance, AI-augmented engineering cultureTake ownership of customer deployments and support production excellenceRequired qualifications:8+ years of backend software engineering experience (Python, Go, Rust)Bachelors degree in Computer Science, Engineering, or related technical field, or equivalent experience.Proven experience designing and scaling APIs in cloud-native environmentsStrong systems thinking, debugging skills, and production engineering mindsetHands-on with modern infra: Docker, Kubernetes, cloud platforms (AWS/GCP/Azure)Experience with distributed systems, async services (Kafka, RabbitMQ), and databases (SQL/NoSQL)Deep curiosity and a growth mindset—you love learning, experimenting, and iteratingComfortable using AI tools to accelerate your development workflowPreferred qualifications:Master's or PhD degree in Computer Science, Engineering, or related technical field, or equivalent experience.Experience with AI/ML platforms or MLOps pipelinesFamiliarity with Graph or Vector databases, or large-scale search infra-Startup or hypergrowth environment experienceExposure to CI/CD pipelines, feature flagging, and testing frameworks Professional Attributes:Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence.Collaboration and Communication: proficiency in working within cross-functional teams—communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives.Project Management and Prioritization: demonstrated aptitude in balancing multiple projects, deadlines, and allocating time efficiently between short-term objectives and long-term goals. Ability to follow and oversee projects, coordinating resources, setting milestones, monitoring progress, and adjusting plans accordingly.Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results.Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base.Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions.What We Offer:By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development.If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.

false

About Articul8 AIAt Articul8, we build enterprise-grade Generative AI solutions that help global organizations unlock new value from their data. Our platform is trusted by some of the world's most innovative companies, and we partner closely with customers to design, deploy, and scale AI solutions that deliver measurable impact.As a fast-moving startup, we move with urgency and focus. Every team member has real ownership, and the work you do here directly shapes our platform and our customers’ success. If you thrive in an environment where innovation happens daily and impact is visible, Articul8 is the place to do the best work of your career.Role OverviewWe are seeking a Senior or Staff AI/ML Engineer to design, develop, and deploy AI-driven solutions that solve real-world problems at scale. You will develop machine learning models, algorithms, fine-tune large language models (LLMs), and implement other AI functionalities while optimizing performance for production environments.You will work directly with our customers to understand their requirements and collaborate closely with our Customer Success team to translate those needs into actionable tasks to implement the solution into our platform. You will also work cross-functionally with Product, Engineering, and Applied Research teams to create and deploy the most effective solutions at scale.This role requires deep expertise in model architectures, AI/ML frameworks, cloud platforms, and software engineering best practices. For the Staff position, you must possess T-shaped skills to develop end-to-end solutions. This includes selecting and developing appropriate AI models down to the layer architecture, designing modularized training and inference methods, architecting Agentic workflows, and implementing production-level code with thorough testing. Experience mentoring junior Data Scientists and/or AI/ML Engineers is highly desired.Key ResponsibilitiesDesign, develop, and deploy AI/ML models ranging from traditional ML regression algorithms to transformer-based architectures.Train, fine-tune, and optimize deep learning and LLM-based solutions.Engage with customers to understand their needs and transform them into actionable tasks for developing new functionalities within the Articul8 platform.Collaborate with researchers, software engineers, and product teams to integrate new AI capabilities into our applications.Implement and evaluate state-of-the-art automated testing and metrics to improve model accuracy and efficiency.Optimize models for both cloud and on-premises environments to ensure low latency and high availability.Develop APIs and micro-services to serve AI models in production.Stay current with the latest AI models, research, and best practices.Ensure ethical AI practices, data privacy, and security compliance.Our Culture MattersAt Articul8, culture isn’t just words — it’s how we show up for each other and our customers:Practice humility – Listen first, respect all voices, and recognize that great solutions are built together.Bias for outcomes – Focus on impact, not just effort; deliver meaningful results that matter to our customers.Care deeply – Invest in relationships, act with empathy, and put customer and teammate success at the center.Dare to do the impossible & embrace scarcity – Push boundaries with creativity and resourcefulness, even when constraints are real.Build a better world – Use our technology and platform to create solutions that benefit not just enterprises, but society at large.Required QualificationsMaster's or PhD in Computer Science, AI, Machine Learning, or equivalent engineering field.8+ years of experience in AI/ML modeling development and deployment for the Senior role, 10+ years for the Staff role.Expert-level programming skills in Python and ML frameworks like PyTorch.Experience with LLMs, NLP, computer vision, or reinforcement learning.Experience with ML modeling for multi-dimensional, large time-series datasets.Strong proficiency in containerization technologies including Docker and Kubernetes.Proficiency in data preprocessing and model evaluation techniques, as well as MLOps tools like MLflow and Kubeflow.3+ years of experience with distributed computing frameworks (Spark, Ray, Dask).Experience deploying AI models on major cloud providers (AWS, GCP, or Azure).Excellent communication and teamwork skills.Preferred QualificationsExperience as a technical lead, guiding junior engineers and data scientists throughout product lifecycles, from proof of concept to model deployment.Experience in multi-cloud AI deployments.Experience working on AI SaaS platforms.Professional Attributes:Problem Solving: Ability to break down complex problems into manageable components, devise creative solutions, and refine ideas based on feedback and evidence.Collaboration and Communication: Skill in working cross-functionally—communicating clearly, offering constructive feedback, delegating responsibilities, and respecting diverse perspectives.Project Management and Prioritization: Demonstrated ability to juggle multiple projects, meet deadlines, and efficiently balance short-term objectives with long-term goals.Critical Thinking: Capacity to evaluate assumptions, question methodologies, challenge personal biases, and maintain healthy skepticism when interpreting results.Curiosity and Continuous Learning: Drive to stay informed about advances in related fields and actively seek opportunities to expand knowledge.Emotional Intelligence and Intellectual Humility: Demonstration of empathy, resilience, adaptability, and self-awareness. Willingness to recognize limitations, embrace uncertainty, acknowledge mistakes, and value others' contributions.What We OfferJoining Articul8 means stepping into a startup environment where every contribution matters and outcomes move the company forward. It’s an “all in” culture — not about long hours, but about shared commitment, ownership, and impact.A culture of curiosity and innovation, where your ideas shape enterprise AI adoption.Opportunities for continuous learning and growth, including mentoring, knowledge sharing, and thought leadership.The chance to work with leading global enterprises on cutting-edge Generative AI projects.A collaborative team that values diversity, inclusion, and creativity, supporting both personal and professional development.Equity and ownership opportunities in a category-defining company.The opportunity to directly influence reference architectures, product roadmap, and the future of enterprise AI adoption.If you're ready to join a team that’s moving fast, thinking big, and shaping the future of Generative AI in the enterprise, we’d love to hear from you.

false

About Articul8 AIAt Articul8, we build enterprise-grade Generative AI solutions that help global organizations unlock new value from their data. Our platform is trusted by some of the world's most innovative companies, and we partner closely with customers to design, deploy, and scale AI solutions that deliver measurable impact.As a fast-moving startup, we move with urgency and focus. Every team member has real ownership, and the work you do here directly shapes our platform and our customers' success. If you thrive in an environment where innovation happens daily and impact is visible, Articul8 is the place to do the best work of your career.Role OverviewWe are seeking a Senior Solution Architect with 10+ years of experience to join our Customer Success team. In this comprehensive role, you will guide customers through their entire AI journey - from initial solution architecture and technical discovery in pre-sales to hands-on implementation and optimization post-sale. This position requires both strategic thinking to articulate the value of our platform and technical depth to ensure successful deployment in complex enterprise environments.Key ResponsibilitiesSolution Design: Deeply understand customer business challenges, mapping them to technical solutions and crafting compelling AI prototypes on the Articul8 platform that address real business objectives.Customer Enablement: Lead technical workshops, hackathons, and training sessions to help customers envision AI transformation and empower their teams for ongoing success.Cross-Functional Collaboration: Work seamlessly with Sales, Product, and Engineering teams to position the platform and deliver best-fit solutions.Platform Deployment: Oversee installation, configuration, and scaling of the Articul8 platform in customer environments, ensuring high standards of security, reliability, and performance.Custom Engineering: Develop and implement tailored workflow solutions to meet unique customer needs and requirements.Infrastructure Optimization: Architect and tune Kubernetes-based environments on AWS, Azure, GCP, and on-premises for infrastructure excellence.Ongoing Training: Deliver enablement workshops and documentation to support long-term customer autonomy and expansion.Continuous Improvement: Monitor and refine deployments for cost-effectiveness, performance scalability, and resilience.Customer Advocacy: Gather feedback and relay it to Product and Engineering, influencing roadmap and product enhancements based on actual customer needs.Required Qualifications10+ years in solution architecture, technical implementation, or enterprise software delivery, with a proven track record of engaging and advising executive and technical leadership.Advanced proficiency in Kubernetes orchestration, cloud platforms (AWS, Azure, GCP), microservices, and containerization.Strong foundation in modern programming languages such as Python, Node.js, or Go with hands-on software engineering experience.Deep understanding of enterprise integration patterns, RESTful APIs, and GraphQL.Demonstrated skill in building effective prototypes, demos, and production-ready deployments.Exceptional ability to communicate complex technical concepts clearly to both executive and engineering audiences, with strong presentation and documentation skills.Expertise in generative AI building blocks and at least one specialization in AI/ML pipelines, API design, data engineering, vector/graph databases, or AI model orchestration.Willingness and ability to travel for customer workshops, deployments, and support as necessary.Our Culture MattersAt Articul8, culture isn't just words — it's how we show up for each other and our customers:Practice humility – Listen first, respect all voices, and recognize that great solutions are built together.Bias for outcomes – Focus on impact, not just effort; deliver meaningful results that matter to our customers.Care deeply – About customers, teammates, and the quality of our deliverables. Act as Customer 0 for our products and tools.Dare to do the impossible & embrace scarcity – Push boundaries with creativity and resourcefulness.Build a better world – Use our technology and platform to create solutions that benefit not just enterprises, but society at large.What We OfferJoining Articul8 means stepping into a startup environment where every contribution matters and outcomes move the company forward. It's an "all in" culture — not about long hours, but about shared commitment, ownership, and impact.The opportunity to architect and implement cutting-edge Generative AI for leading global enterprises.A culture of curiosity and technical excellence, where you'll continuously learn and grow.High ownership of solutions — your work goes live, impacts customers directly, and informs the product roadmap.A collaborative team that values diversity, inclusion, and creativity, supporting both personal and professional development.Equity and ownership opportunities in a category-defining company.The chance to build reference architectures and deployments that will shape enterprise AI adoption at scale.If you're ready to join a team that's moving fast, thinking big, and helping customers succeed with Generative AI from initial vision through production deployment, we'd love to hear from you.

false

About Articul8 AIAt Articul8, we build enterprise-grade Generative AI solutions that help global organizations unlock new value from their data. Our platform is trusted by some of the world's most innovative companies, and we partner closely with customers to design, deploy, and scale AI solutions that deliver measurable impact.As a fast-moving startup, we move with urgency and focus. Every team member has real ownership, and the work you do here directly shapes our platform and our customers' success. If you thrive in an environment where innovation happens daily and impact is visible, Articul8 is the place to do the best work of your career.Role OverviewThe Manufacturing & Industrial Solutions Architect at Articul8 will play a critical role in partnering with leading manufacturing companies to design, implement, and optimize scalable, flexible, and resilient cloud architectures. This senior technical role will merge deep manufacturing and industrial domain expertise, cloud architecture proficiency, and customer success engagement to deliver measurable business impact. The role includes guiding the product roadmap by driving feedback and market insights into solution strategy and product development in complex enterprise environments.Key ResponsibilitiesDesign and deploy scalable architectures for manufacturing use cases including industrial operations that include SCADA/HMI, EDA, IoT, Machine Learning, AI, and advanced analytics.Lead technical workshops, prototype solutions, and oversee platform deployment and optimization.Collaborate with product and engineering teams to incorporate customer feedback into the product roadmap.Advise customers on Articul8 product adoption strategies with a focus on differentiating capability, security, cost, and operational efficiency.Architect and tune Kubernetes-based and containerized infrastructure leveraging cloud platforms (AWS, Azure, GCP, or on-premises) to ensure infrastructure excellence.Develop reusable solution templates and document best practices.Partner with sales and business development to drive cloud adoption and align solutions with industry trends.Continuously monitor and improve deployed solutions for performance and scalability.Communicate technical concepts clearly to diverse audiences and advocate for customer needs internally.Stay current with emerging manufacturing and cloud technologies to inform strategy and ability to support other industry verticals when required.Required Qualifications10+ years of experience in solution architecture, technical implementation, or enterprise software delivery, including significant engagement with executive and technical leadership.Strong expertise in cloud platforms, Kubernetes orchestration, containerization, microservices architecture, and modern programming languages (e.g., Python, Node.js, Go).Deep understanding of manufacturing industry specific challenges, IT/OT convergence, and digital transformation.Experience with enterprise integration patterns, RESTful APIs, GraphQL, and data engineering.Proven ability to build effective prototypes, demos, and production-grade deployments.Exceptional communication skills, capable of articulating complex technical concepts clearly across business and engineering audiences.Expertise in generative AI building blocks and at least one specialization in AI/ML pipelines, API design, data engineering, vector/graph databases, or AI model orchestration.Willingness and ability to travel for customer workshops, deployments, and support as necessary.Our Culture MattersAt Articul8, culture isn't just words — it's how we show up for each other and our customers:Practice humility – Listen first, respect all voices, and recognize that great solutions are built together.Bias for outcomes – Focus on impact, not just effort; deliver meaningful results that matter to our customers.Care deeply – About customers, teammates, and the quality of our deliverables. Act as Customer 0 for our products and tools.Dare to do the impossible & embrace scarcity – Push boundaries with creativity and resourcefulness.Build a better world – Use our technology and platform to create solutions that benefit not just enterprises, but society at large.What We OfferJoining Articul8 means stepping into a startup environment where every contribution matters and outcomes move the company forward. It's an "all in" culture — not about long hours, but about shared commitment, ownership, and impact.The opportunity to architect and implement cutting-edge Generative AI for leading global enterprises.A culture of curiosity and technical excellence, where you'll continuously learn and grow.High ownership of solutions — your work goes live, impacts customers directly, and informs the product roadmap.A collaborative team that values diversity, inclusion, and creativity, supporting both personal and professional development.Equity and ownership opportunities in a category-defining company.The chance to build reference architectures and deployments that will shape enterprise AI adoption at scale.If you're ready to join a team that's moving fast, thinking big, and helping customers succeed with Generative AI from initial vision through production deployment, we'd love to hear from you.

false

Company Overview: At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same. Job Description: Articul8 AI is seeking an exceptional Product/Software Engineer-Backend to join us in shaping the future of Generative Artificial Intelligence (GenAI). We are looking for a Product/Software Engineer-Backend with a proven track record of designing and building scalable production-level software. As a member of our Product Technology team, you will play a critical role in designing, developing, and maintaining the backend software and infrastructure supporting our GenAI-powered products. You'll collaborate with cross-functional teams to drive innovation, optimize performance, and foster growth. This position offers exciting opportunities to work closely with cross-functional teams and external partners to drive innovations in enterprise-grade GenAI. Responsibilities: Design, develop, test, deploy, maintain, and improve scalable, secure, and high-performance backend systems, focusing on high availability, low latency, and cost-effectiveness. Be the subject matter expert in infrastructure when designing new products and introducing new technology to our existing product line. Collaborate closely with engineering and research teams to integrate infrastructure components with product features, ensuring optimal system performance and user experience. Design event-driven architectures and develop APIs and microservices to support real-time processing and analytics. Ensure system reliability, performance, and scalability through monitoring, logging, and error handling mechanisms. Stay up-to-date with emerging trends, technologies, and methodologies, applying this knowledge to enhance our infrastructure capabilities. Participate in code reviews, contribute to open-source projects, and mentor junior engineers. Required Qualifications: Professional experience: 7+ years of design, implementation, or consulting in applications and backend software development experience. Education: BSc degree in Computer Science, Engineering, or a related field.  Preferred Qualifications: Technology stack: Cloud Platforms: AWS, Azure, GCP Programming/ Development: Python, Node.js, Go, Ruby, CI/CD pipelines, and version control. Frameworks: Django, Flask, OpenAPI, FastAPI, Spring Boot, Express.js Databases: PostgreSQL, MySQL, MongoDB, Redis API Management: REST, GraphQL. Container Orchestration: Kubernetes, Docker Swarm Education: Master’s or PhD in Computer science or related technical fields. Professional Attributes: Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence. Collaboration and Communication: proficiency in working cross-functionally—communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives. Project Management and Prioritization: demonstrated aptitude in balancing multiple projects, deadlines, and allocating time efficiently between short-term objectives and long-term goals. Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results. Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base. Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions. What We Offer:By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development.If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.NOTE: This position is available via CLT contract only, Thank you!

false

About us:At Articul8 AI, we relentlessly pursue excellence and create exceptional AI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same.Job Description:Articul8 AI is seeking an exceptional Solution Architect to join us in shaping the future of Generative Artificial Intelligence (GenAI). We are looking for a Solution Architect with a proven track record of architecting, designing, and building scalable, reliable, and cost-effective solutions. As a member of our Product Technology team, you will work closely with a customer's technical and business leaders to gain a deep understanding of their technical gaps and needs, and business objectives. You will craft optimal GenAI-based solutions that promote innovation and accelerate our process of bringing new products to market. This position offers exciting opportunities to work closely with cross-functional teams and external partners to drive innovations in enterprise-grade GenAI.Responsibilities:Solution Design: Develop detailed and scalable architectural designs to address client needs. This involves utilizing Articul8 products as well as third party libraries and tools and designing solutions that leverage these resources effectively.Piloting and Prototyping: Run pilot programs with customers to demonstrate feasibility and advantages of proposed Articul8-based solutions. In the process, they often are responsible for introducing new product features or even building prototypes of new products.Client Interaction: Work closely with clients to understand their business challenges and technical requirements. Conduct workshops, meetings, and presentations to communicate solutions and best practices.Performance Optimization: Optimize solutions for performance, reliability, and cost-effectiveness. This involves selecting appropriate instance types, auto-scaling configurations, and storage options.Security and Compliance: Ensure that solutions comply with security best practices and regulatory requirements. Implement identity and access management, data encryption, and other security measures.Documentation and Training: Create comprehensive documentation of the solution architecture and provide training to clients or internal teams on the implementation and management of the solution.Teamwork: Collaborate with cross-functional teams, including Applied Research, Engineering, Quality Assurance, and Customer Success, to seamlessly incorporate innovation and maintain our product technology leadership.Leadership: Mentor and guide junior team members and help building a strong culture of rapid innovationRequired Qualifications:Professional experience:2+ years of design, implementation, or consulting in applications and infrastructures experience4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experienceEducation: BSc degree in Computer Science, Engineering, Mathematics, or a related field.Preferred Qualifications:Technology stack:Cloud Platforms: AWS, Azure, GCPProgramming Languages: Python, Node.js, Go, RubyAPIs and Integration: OpenAPI, FastAPI, Swagger, Flask, RESTDatabases: PostgreSQL, MySQL, MongoDB, RedisML Frameworks: PyTorch, Scikit-learn, KerasDevelopment and Deployment: Jenkins, Docker, KubernetesMonitoring and Logging: Prometheus, Grafana, ELK Stack.Version Control: Git, GitHub, GitLabArchitecture Design and Modeling: Microsoft Visio, Drawio.Collaboration and Project Management: JIRA, Confluence, TrelloMaster’s or PhD in Computer science or related technical fields.Experience developing tools, libraries, and infrastructure for data preprocessing, model training/finetuning, and deployment of LLMs in research and production environments.Professional Attributes:Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence.Collaboration and Communication: proficiency in working within cross-functional teams—communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives.Project Management and Prioritization: demonstrated aptitude in balancing multiple projects, deadlines, and allocating time efficiently between short-term objectives and long-term goals. Ability to follow and oversee projects, coordinating resources, setting milestones, monitoring progress, and adjusting plans accordingly.Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results.Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base.Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions. By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development. Your future experience at Articul8 will include continuous learning and growth opportunities as we embark on an exciting journey to disrupt the status quo. If you're excited about joining a team that's passionate about making a difference, we want to hear from you. In addition to our competitive salary and benefits package, we offer a range of perks and programs designed to help you succeed, including: Professional development opportunities, including training and mentorship programsFlexible work arrangements, including remote work optionsAccess to the latest technologies and toolsRegular social events and team-building activitiesA supportive and inclusive work environment If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.NOTE: This position is available via CLT contract only, Thank you!

false

About Sana Sana is an AI lab building superintelligence for work. We believe organizations can accomplish their missions faster when humans can effortlessly access knowledge, automate repetitive work, and learn anything with the help of agentic AI. As part of Workday, we are committed to building AI that augments humans. If that is a mission that excites you, you are in the right place.About the rolesYou will work on the core backend systems that power Sana’s Learn platform and search infrastructure. You will redesign and scale systems to handle enterprise workloads, remove deep bottlenecks, and evolve our architecture for the era of AI and agents.We are hiring for two senior roles:Senior Backend Engineer, Learn (Core Systems)Senior Backend Engineer, Search1. Senior Backend Engineer, Learn (Core Systems)About the roleYou will focus on making the Learn platform, especially Manage, Insights, and APIs, scalable and maintainable for enterprise use. You will take systems that work at current scale and redesign them to handle much larger volumes of data, users, and entities. The work is primarily architectural and system level, with strong emphasis on Postgres and database design.In this role, you willRedesign existing components to support enterprise scale workloadsAnalyze and resolve bottlenecks in storage, query performance, APIs, and data modelsLead migrations away from legacy implementations to sustainable replacementsImprove reliability and efficiency of APIs and integrations for internal and external clientsDrive technical projects from definition to delivery with Product Managers and other teamsMaintain a long term view of system health and architectureShare technical knowledge, review designs, and set best practices for backend and systems designWhat success looks likeArchitecture and scalability are prioritized over short term fixesRisks are identified early and addressed with solid technical solutionsYou balance hands on coding with architectural leadershipLearn core systems support larger enterprise customers without performance or reliability issuesStrong Postgres skills (schema design, query optimization, indexing) improve performance and scalability2. Senior Backend Engineer, SearchAbout the roleYou will build and scale Sana’s search infrastructure for enterprise scale knowledge discovery. You will architect retrieval systems, ranking algorithms, and search APIs that handle large increases in volume while maintaining sub second latency and high relevance. You will rethink the search stack for the era of agents, using engines like Vespa, vector databases, and embedding models.In this role, you willArchitect and scale search infrastructure to billions of documents in multi tenant environmentsDesign hybrid search that combines keyword search with semantic understanding and vector searchBuild ranking and personalization systems that learn from user behaviorCollaborate with AI engineers to integrate large language models into the search pipeline and build retrieval augmented systemsOptimize search performance across query parsing, index design, and distributed architectureLead development of search observability and quality frameworks with clear metrics and monitoringWork closely with product and design to shape the future of knowledge discovery at SanaWhat success looks likeSearch systems scale elegantly to billions of documents and millions of queries with strict latency targetsSystems apply proven IR techniques and practical advances in semantic AI retrievalSearch quality issues are detected early through strong observability and automated regression checksYou balance implementation with system design and mentor others on search and IR fundamentalsDeep expertise in search infrastructure (index optimization, query planning, distributed retrieval, caching) prevents performance issues before users see themThe stack evolves from traditional search to AI powered discovery, including embeddings, reranking, and RAG, while staying reliableSearch infrastructure supports enterprise deployments with strict SLAs, multi tenancy isolation, and very high uptimeWhat we offerHelp shape AI's future alongside brilliant minds from Notion, Dropbox, Slack, Databricks, Google, McKinsey, and BCG.Competitive salary and compensation packageSwift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders.Work with talented teammates across 5+ countries, and collaborate with customers globallyRegular team gatherings and events (recently in Italy and South Africa)

false

About Articul8 AIAt Articul8, we build enterprise-grade Generative AI solutions that help global organizations unlock new value from their data. Our platform is trusted by some of the world's most innovative companies, and we partner closely with customers to design, deploy, and scale AI solutions that deliver measurable impact.As a fast-moving startup, we move with urgency and focus. Every team member has real ownership, and the work you do here directly shapes our platform and our customers' success. If you thrive in an environment where innovation happens daily and impact is visible, Articul8 is the place to do the best work of your career.Role OverviewAs an AI/ML Manager, you will leverage your strong technical expertise in machine learning with your leadership skills to guide a high-performing team, shape the technical roadmap, and deliver impactful solutions across our products. This role blends technical leadership, applied research translation, and cross-functional collaboration to deliver impactful scalable solutions to our customers. You will shape the AI roadmap, cultivate a culture of excellence, and ensure scalable, data-driven execution in a fast-paced environment.This role will engage directly with customers to understand their requirements and collaborate closely with multiple teams at Articul8 to translate these needs into actionable tasks for your team. You will oversee feature lifecycles from ideation through deployment in production-grade code.Candidates must have experience leading teams of both junior and senior engineers across multiple parallel projects in a fast-paced environment. This role also requires technical expertise in AI/ML, MLOps, cloud platforms, and coding best practices.Key ResponsibilitiesLead, mentor, and grow a high-performing team of AI/ML engineers, fostering a culture of innovation, technical excellence, and continuous learning.Collaborate cross-functionally with Customer Success, Product Management, Engineering, and Business Development to scope, prioritize, and align AI/ML initiatives with core business objectives.Define and enforce best practices for the full ML lifecycle, including experimentation, code reviews, reproducibility, deployment pipelines, monitoring, and MLOps.Own the technical roadmap for AI/ML capabilities, ensuring alignment with long-term product strategy while rapidly adapting to research findings and market shifts.Drive translation of applied research into production-ready solutions, balancing cutting-edge innovation with pragmatic delivery at startup speed.Establish team processes for prioritization, planning, and technical guidance to optimize execution speed while ensuring reliability, scalability, and quality.Promote a data-driven culture by defining success metrics and KPIs, ensuring technical outputs are measurable, impactful, and tied to business outcomes.Contribute hands-on to technical architecture, model design, and code reviews where appropriate, while balancing technical leadership and management responsibilities.Advocate for responsible and ethical AI practices, ensuring compliance with organizational policies and industry standards.Required QualificationsBachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related technical field; PhD preferred for deeper research leadership.Excellent communication and collaboration skills for cross-functional teamwork and translating technical AI/ML concepts into business impact.Strong organizational skills with proven experience managing multiple complex AI/ML projects and priorities in dynamic environments.5+ years of professional experience in software engineering, machine learning, or applied AI, including at least 3 years in a leadership or management capacity.Proven track record successfully building, deploying, and scaling machine learning systems in production environments.Deep understanding of modern ML/AI techniques (e.g., deep learning, transformers, reinforcement learning) and proficiency with frameworks such as TensorFlow, PyTorch.Experience with cloud platforms (AWS, GCP, Azure) and MLOps best practices/tools for model orchestration, deployment, continuous integration, and monitoring.Strong coding skills, at least in Python, and familiarity with containerization (Docker, Kubernetes) and data engineering pipelines is a plus.Recommended Preferred QualificationsStrong problem-solving, critical thinking, and curiosity to break down complex AI/ML challenges, iteratively improve solutions, and stay current with advances in the field.Exceptional communication and collaboration skills to work cross-functionally, translate technical concepts clearly, respect diverse perspectives, and effectively lead distributed or hybrid AI/ML teams in fast-paced environments.Proven team management and prioritization abilities to efficiently balance multiple initiatives, meet deadlines, and align short-term execution with long-term strategic goals.High emotional intelligence and intellectual humility to demonstrate empathy, adaptability, and resilience; embrace feedback and uncertainty while valuing diverse contributions and fostering inclusive team culture.Our Culture MattersAt Articul8, culture isn't just words — it's how we show up for each other and our customers:Practice humility – Listen first, respect all voices, and recognize that great solutions are built together.Bias for outcomes – Focus on impact, not just effort; deliver meaningful results that matter to our customers.Care deeply – About customers, teammates, and the quality of our deliverables. Act as Customer 0 for our products and tools.Dare to do the impossible & embrace scarcity – Push boundaries with creativity and resourcefulness.Build a better world – Use our technology and platform to create solutions that benefit not just enterprises, but society at large.What We OfferJoining Articul8 means stepping into a startup environment where every contribution matters and outcomes move the company forward. It's an "all in" culture — not about long hours, but about shared commitment, ownership, and impact.The opportunity to architect and implement cutting-edge Generative AI for leading global enterprises.A culture of curiosity and technical excellence, where you'll continuously learn and grow.High ownership of solutions — your work goes live, impacts customers directly, and informs the product roadmap.A collaborative team that values diversity, inclusion, and creativity, supporting both personal and professional development.Equity and ownership opportunities in a category-defining company.The chance to build reference architectures and deployments that will shape enterprise AI adoption at scale.If you're ready to join a team that's moving fast, thinking big, and helping customers succeed with Generative AI from initial vision through production deployment, we'd love to hear from you.

false

About SesameSesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice companions part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive.About the RoleAs a Backend Infrastructure Engineer at Sesame, you will work across the stack, with an emphasis on backend, infrastructure, and systems. You should feel comfortable working on any typical software project, with the ability to quickly learn new tools and services with a strong intuition on software development and software deployment best practices.Responsibilities: Build a secure, maintainable, self-serve core infrastructure.Build a modern training architecture and a modern serving architecture.Build and scale a low-latency voice interface and audio processing pipeline.Build low maintenance, high leverage developer tooling, server, and data infrastructure.Required Qualifications:Ability to set, own, and communicate direction.  Hands-on reliability engineering experience. You hold convictions about monitoring and observability methodology, deployment systems, loosely coupled components, etc.Experience shipping services at scale.Experienced systems designer in designing and shipping flexible domain models and APIs.A track record of delivering efficiency through automation.Experience solving challenging infrastructure problems (using the tools below). Preferred Qualifications:Significant IaC experience (Terraform preferred).CloudFormation, Pulumi, Kube-based, etc. Architected a multi-stack, self-serve Terraform system, or maintained one.Understand the challenges of building infrastructure at scale.Significant Kubernetes experience.Some ML experience.Torch experience, especially model optimization for serving.General ML training or serving experience. Built ML serving and/or training infrastructure.Experience in Torch Serve, Seldon, KServe, Ray Serve, etc.Experience building large-scale distributed training and serving systems.Data engineering experience.Technical leadership.Database design.Real-time communication experience.Sesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities—contact careers@sesame.com for assistance.Full-time Employee Benefits: 401k matching100% employer-paid health, vision, and dental benefits Unlimited PTO and sick time Flexible spending account matching (medical FSA) Benefits do not apply to contingent/contract workers

false

About Us:webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.About the Role:The AI Research Scientist will contribute to webAI’s development of next-generation AI models and systems. In this role, you will design, train, evaluate, and optimize cutting-edge machine learning models including large language models, multimodal architectures, and on-device inference systems. You will work closely with research leadership, applied AI teams, and platform engineering to advance scientific discovery while ensuring that innovations translate into real-world impact.This is a hands-on research role for someone who loves experimentation, solving complex problems, and building AI that is powerful, efficient, and privacy-preserving. Responsibilities:Design, train, and optimize machine learning models including LLMs, multimodal models, transformers, and diffusion architecturesConduct research on model efficiency, quantization, compression, and on-device deploymentPrototype novel model architectures, training methods, and inference strategies for distributed AIDevelop and evaluate benchmarks, datasets, and experimental frameworks to test model performanceCollaborate with engineering teams to integrate research findings into production systemsStay current on leading research in deep learning, generative AI, and distributed MLAnalyze experimental results and communicate insights clearly to technical and non-technical stakeholdersDocument research findings, contribute to internal papers, and present technical work across the organizationIdentify emerging technologies and propose research directions aligned with webAI’s strategic priorities Qualifications:4+ years of experience (can be graduate research) in machine learning research, AI model development, or related fieldsStrong expertise in deep learning architectures including transformers, CNNs, RNNs, and diffusion modelsHands-on experience training and fine-tuning large-scale modelsProficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAXExperience building datasets, designing experiments, and validating ML model performanceDeep understanding of optimization techniques including quantization, distillation, pruning, and hardware-aware trainingStrong problem-solving skills and ability to work independently on complex research tasksEffective communication skills for presenting research findings to diverse audiencesBachelor’s degree in Computer Science, Engineering, Mathematics, or a related field Preferred SkillsMaster’s or PhD in Machine Learning, Computer Science, AI, or a related fieldExperience with distributed training, edge inference, or on-device MLResearch experience in generative AI, reinforcement learning, or multimodal learningFamiliarity with privacy-preserving ML techniques such as federated learningExperience contributing to academic publications, patents, or open-source ML projectsComfort operating in a fast-paced, high-growth startup environment We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:Truth - Emphasizing transparency and honesty in every interaction and decision.Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.Benefits:Competitive salary and performance-based incentives.Comprehensive health, dental, and vision benefits package.401k Match (US-based only)$200/mos Health and Wellness Stipend$400/year Continuing Education Credit$500/year Function Health subscription (US-based only)Free parking, for in-office employeesUnlimited Approved PTOParental Leave for Eligible EmployeesSupplemental Life Insurance webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

false

The AI orchestration of your wildest imagination.n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact.Since our founding in 2019, we’ve grown into a diverse team of over 160 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve:Cultivated a community of more than 650,000 active developers and buildersEarned 145k+ GitHub stars, making us one of the world’s Top 40 most popular projectsBeen ranked as one of Europe’s most promising privately held SaaS startups (4th in Sifted’s 2025 B2B SaaS Rising 100)Raised $240m to date, from Sequoia’s first German seed to our recent $180m Series C - bringing us to a $2.5bn valuationAnd are grateful for our 94 eNPS score (most companies would call 70 excellent) That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register.We’re in a defining moment of an incredible journey. Come and build with us.As a Senior AI Engineer, you'll drive intelligent features that redefine how users build automations. You'll build AI-powered capabilities, from natural language input to smart suggestions, that make creating workflows faster and more intuitive.You'll collaborate across engineering, product, and design to bring generative AI and LLM-based enhancements into the core user experience. You'll improve existing AI integrations, develop new ones, and shape how AI powers our product. You’ll work across the entire AI feature lifecycle:Architect and implement AI-powered capabilities: code generation, intelligent node creation, and workflow optimizationIntegrate LLM APIs and embedding models for text-to-workflow and natural language code suggestionsDesign and iterate on prompts to improve model output and user experienceBuild internal tooling, evaluation benchmarks, and automated testing for AI componentsCollaborate closely with other engineers to ensure AI features are reliable, performant, and scalableBalance experimentation with impact: ship quickly while focusing on user valueStay current with advances in LLMs, prompt frameworks, and developer tools - and bring those insights into our roadmapRequirements5+ years of experience building web-based products, ideally in B2B SaaS startupsStrong fullstack development skills with TypeScript, Node.js, and API designExperience shipping AI-powered features in production with LLM APIs (OpenAI, Anthropic, etc.) and understanding of how to translate machine intelligence into user value. We're looking for experience building end-to-end systems.Understanding of AI fundamentals: agent architectures, chat completion roles, embedding vectors, vector databases, and chunking strategiesHands-on experience with prompt engineering, embedding models, and vector storesA user-focused mindset: you care about delivering features that solve real problemsA bias for shipping and learning - fast iteration is second nature to youBonus Points ForExperience fine-tuning LLMs or working with retrieval-augmented generation (RAG) systemsFrontend experience using Vue or ReactTechnical writing or documentation contributions, especially around developer tools or AIExperience with agent orchestration patterns and state management in multi-step AI systemsKnowledge of code quality evaluation metrics and context optimization techniquesn8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.We can sponsor visas to Germany; for any other country, you need to have existing right to work.Our company language is English.You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. Benefits Competitive compensation 💸 – We offer fair and attractive pay.Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.Work/life balance 🏖️ – We work hard but ensure you have time to recharge:Europe: 30 days of vacation, plus public holidays wherever you are.US: 15 vacation days, 8 sick days, plus public holidays wherever you are.Health & wellness 🩺 –Europe: We provide benefits according to local country norms.*US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage.Future planning 💰 –Europe: We provide pension contributions according to local country norms.*US: 401(k) retirement plan with a 4% employer match.Financial security 🛡️ –Europe: We provide benefits according to local country norms.*US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones.Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.AI enablement 🤖 – We believe in working smarter—everyone gets an unlimited AI budget to explore and use the best tools to boost productivity and creativity.Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.An ambitious but kind culture 😍 – People love working here—our eNPS for 2024 is 94!* Country-specific details are provided in your contract.