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TL;DR: We're looking for a Penetration Tester who lives to break things, ethically. You'll push Lovable's platform to its limits, hunt vulnerabilities across our AI pipelines and user-generated code, and make sure attackers never get there before you do.Why Lovable?Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started.We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world.What we’re looking for5+ years of hands-on penetration testing experience across web, mobile, APIs, and cloud infrastructure.Deep expertise in offensive security techniques: OWASP, MITRE ATT&CK, exploit development, privilege escalation, and lateral movement.Experience attacking AI-native products or LLM-integrated systems, including prompt injection, model abuse, and data exfiltration vectors.Strong understanding of cloud environments (GCP, AWS, Cloudflare) and the attack surfaces they introduce.Ability to translate complex findings into clear, prioritised reports that engineering teams can act on immediately.Low ego, high output. You collaborate as naturally as you compete against systems.Bonus: experience with red team operations, supply chain attacks, or mobile security (iOS/Android). Familiarity with SAST/DAST tooling. Background in security research or CVE disclosure.What you’ll doOwn offensive security end-to-end: plan and execute penetration tests across Lovable's web platform, mobile surface, APIs, cloud infrastructure, and AI pipelines.Break our AI before others do: probe LLM integrations for prompt injection, jailbreaks, data leakage, and novel attack vectors unique to AI-generated code running in live products.Stress-test user-generated code at scale: identify systemic vulnerabilities introduced when millions of users create and deploy real applications on Lovable.Turn findings into action: work directly with engineering to prioritise, remediate, and verify fixes, closing the loop between discovery and resolution.Raise the security bar org-wide: run internal red team exercises, contribute to threat modelling, and embed an attacker's mindset across the engineering culture.Help make Lovable the most secure AI product in the market.Our Tech StackFrontend: React and TypeScriptBackend: Golang and RustCloud: Cloudflare, GCP, AWS, Modal, multiple LLM providersDevOps & Tooling: GitHub Actions, Grafana, OTEL, infra-as-code (Terraform)Data: Clickhouse, Firestore, Spanner, BigQueryAnd we're always exploring what's next!About your applicationPlease submit your application in English. It’s our company language, so you’ll be speaking lots of it if you join.We treat all candidates equally - if you’re interested, please apply through our careers portal.

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About UsHarmattan AI is a next-generation defense prime building autonomous and scalable defense systems. Following the close of a $200M Series B, valuing the company at $1.4 billion, we are expanding our teams and capabilities to deliver mission-critical systems to allied forces.Our work is guided by clear values: building technologies with real-world impact, pursuing excellence in everything we do, setting ambitious goals, and taking on the hardest technical challenges. We operate in a demanding environment where rigor, ownership, and execution are expected.About the RoleAs a System Architect, you will own the end-to-end architecture, system definition, and strategic implementation for our entire portfolio of robotic and autonomous defense systems—from long-term vision to field deployment. You will collaborate closely with executive leadership and technical leads, forming a critical partnership with the Product Manager to ensure efficiency and alignment across the organization.This pivotal role drives strategic programs including anti-drone warfare, ISR and strike systems, equipment fusion (especially aeronautics), and C2 and AI.Key ResponsibilitiesSystem-of-Systems Design & Strategy: Translate complex strategic goals into global, system-of-systems designs. Define and champion the overall system architecture strategy across the enterprise, ensuring coherence from concept through deployment.Architectural Sizing & Verification: Ensure all systems meet defined needs and are correctly sized through rigorous verification of scope, complex system-of-systems simulations, and precise system sizing. Guide major technical investment decisions.Technical Leadership & Coordination: Coordinate large, multidisciplinary engineering organizations and provide overarching technical leadership across cross-functional design efforts (mechanical, electrical, software, GNC, ML, product). Ensure long-term performance, robustness, and strategic reliability across the enterprise.Specification & Integration Governance: Govern system integration standards and validation processes. Manage the complex process of specification management by ensuring all architectural prerequisites are met. Drive multi-system architecture reviews for enterprise design consistency.Continuous Improvement: Implement and institutionalize processes to enhance requirements traceability, system documentation standards, and validation workflows across the entire engineering organization.Candidate RequirementsExperience & Education10+ years of experience in systems engineering or architecture, with significant time in a senior or lead role.MSc in Engineering (any field); PhD is a plus.Experience in the defense sector is mandatory; experience with drones or autonomous platforms is a significant plus.Domain ExpertiseStrong knowledge in one or more of the following specializations:C2 (Command and Control) & AIISR (Intelligence, Surveillance, and Reconnaissance)Strike UAV and loitering munitionsAnti-drone warfare / Counter-UASUAV equipment and sensor fusionSkills & CompetenciesExpert in defining and leading the full lifecycle of complex, multi-system and system-of-systems architectures.Strategic, analytical, and mission-driven with expertise in strategic requirements engineering and high-level trade-off analysis.Deep engineering understanding across mechanical, electrical, embedded, and enterprise software systems.Proven ability to coordinate large, multi-disciplinary engineering organizations and manage complex technical and strategic interfaces.Exceptional communication, presentation, and technical documentation skills for both technical and executive audiences.Location and CommitmentsContract Type: Full-time / PermanentWork Schedule: Arlington, Virginia / On-siteCompensation: $200K-$220K + equity + benefitsWe look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.What this opportunity involves While each project involves unique tasks, contributors may: Design graduate- and industry-level automotive engineering problems grounded in real practice; Evaluate AI-generated solutions for correctness, assumptions, and engineering logic; Validate analytical or numerical results using Python (NumPy, SciPy, Pandas); Improve AI reasoning to align with first principles and accepted engineering standards; Apply structured scoring criteria to assess multi-step problem solving. What we look for This opportunity is a good fit for automotive engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  Degree in Automotive Engineering or related fields, e.g. Mechatronics, Manufacturing Engineering, Mechanical Engineering, Aerospace Engineering, etc. 3+ years of professional automotive engineering experience Strong written English (C1/C2) Strong Python proficiency for numerical validation Stable internet connection Professional certifications (e.g., PE, CEng, PMP) and experience in international or applied projects are an advantage.How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paidProject time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. CompensationOn this project, contributors can earn up to $12 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you’ll have the opportunity to collaborate on these projects.  Although every project is unique, you might typically: Design original computational STEM problems that simulate real scientific workflows.Create problems that require Python programming to solve.Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches.Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn).Document problem statements clearly and provide verified correct answers.CompensationOn this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.RequirementsYou hold a Master’s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field.You have at least 5 years of Machine Learning experience with proven business impact.Strong programming skills in Python (numpy, pandas, scipy, sklearn).Solid understanding of numerical methods and computational algorithms.Research or industry experience involving computational problem-solving.Your level of English is advanced (C1) or above.You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you’ll have the opportunity to collaborate on these projects.  Although every project is unique, you might typically: Design original computational STEM problems that simulate real scientific workflows.Create problems that require Python programming to solve.Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches.Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn).Document problem statements clearly and provide verified correct answers.CompensationOn this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.RequirementsYou hold a Master’s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field.You have at least 5 years of Machine Learning experience with proven business impact.Strong programming skills in Python (numpy, pandas, scipy, sklearn).Solid understanding of numerical methods and computational algorithms.Research or industry experience involving computational problem-solving.Your level of English is advanced (C1) or above.You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you’ll have the opportunity to collaborate on these projects.  Although every project is unique, you might typically: Design original computational STEM problems that simulate real scientific workflows.Create problems that require Python programming to solve.Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches.Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn).Document problem statements clearly and provide verified correct answers.CompensationOn this project, contributors can earn up to $21 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.RequirementsYou hold a Master’s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field.You have at least 5 years of Machine Learning experience with proven business impact.Strong programming skills in Python (numpy, pandas, scipy, sklearn).Solid understanding of numerical methods and computational algorithms.Research or industry experience involving computational problem-solving.Your level of English is advanced (C1) or above.You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you’ll have the opportunity to collaborate on these projects.  Although every project is unique, you might typically: Design original computational STEM problems that simulate real scientific workflows.Create problems that require Python programming to solve.Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches.Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn).Document problem statements clearly and provide verified correct answers.CompensationOn this project, contributors can earn up to $34 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.RequirementsYou hold a Master’s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field.You have at least 5 years of Machine Learning experience with proven business impact.Strong programming skills in Python (numpy, pandas, scipy, sklearn).Solid understanding of numerical methods and computational algorithms.Research or industry experience involving computational problem-solving.Your level of English is advanced (C1) or above.You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Data Science AI Trainer, you’ll have the opportunity to collaborate on these projects.  Although every project is unique, you might typically: Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare).Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn).Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction.Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility.Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency.Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations).Incorporate big data processing scenarios requiring scalable computational approaches.Verify solutions using Python with standard data science libraries and statistical methods.Document problem statements clearly with realistic business contexts and provide verified correct answers. CompensationOn this project, contributors can earn up to $15 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.RequirementsYou hold a Master’s or PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field. You have at least 5 years of hands-on data science experience with proven business impact.You have portfolio of completed projects and publications showcasing real-world problem-solving. You are proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels). You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications. You are proficient in SQL and database operations for data manipulation and analysis.You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases).You have good understanding of MLOps practices and model deployment workflows.You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain).Your level of English is advanced (C1) or above.You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you’ll have the opportunity to collaborate on these projects.  Although every project is unique, you might typically: Design original computational STEM problems that simulate real scientific workflows.Create problems that require Python programming to solve.Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches.Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn).Document problem statements clearly and provide verified correct answers.CompensationOn this project, contributors can earn up to $15 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.RequirementsYou hold a Master’s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field.You have at least 5 years of Machine Learning experience with proven business impact.Strong programming skills in Python (numpy, pandas, scipy, sklearn).Solid understanding of numerical methods and computational algorithms.Research or industry experience involving computational problem-solving.Your level of English is advanced (C1) or above.You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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About the TeamThe Integrity team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. The Integrity team is at the front lines of defending against financial abuse, scaled attacks, and other forms of misuse that could undermine the user experience or harm our operational stability.About the RoleAs a Machine Learning Engineer in OpenAI's Applied Group, you will have the opportunity to work with some of the brightest minds in AI. You'll contribute to deploying state-of-the-art models in production environments, helping turn research breakthroughs into tangible solutions that improve the trust and safety of our platform. If you're excited about fine tuning LLMs and building ML models this role is your chance to make a significant mark.In this role, you will:Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact.Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives.Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches.Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices.Make a Difference: Monitor and maintain deployed models to ensure they continue delivering value. Your work will directly influence how AI benefits individuals, businesses, and society at large.You might thrive in this role if you:Master's/  PhD degree in Computer Science, Machine Learning, Data Science, or a related field. Demonstrated experience in deep learning and transformers modelsProficiency in frameworks like PyTorch or TensorflowStrong foundation in data structures, algorithms, and software engineering principles.Experience with search relevance, ads ranking  or LLMs is a plus.Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimizationExcellent problem-solving and analytical skills, with a proactive approach to challenges.Ability to work collaboratively with cross-functional teams.Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlinesEnjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job doneAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you’ll have the opportunity to collaborate on these projects.  Although every project is unique, you might typically: Design original computational STEM problems that simulate real scientific workflows.Create problems that require Python programming to solve.Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches.Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn).Document problem statements clearly and provide verified correct answers.CompensationOn this project, contributors can earn up to $21 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.RequirementsYou hold a Master’s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field.You have at least 5 years of Machine Learning experience with proven business impact.Strong programming skills in Python (numpy, pandas, scipy, sklearn).Solid understanding of numerical methods and computational algorithms.Research or industry experience involving computational problem-solving.Your level of English is advanced (C1) or above.You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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WHO WE AREEma is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the AI Employee.We are founded by ex-Google, Coinbase, and Okta executives and serial entrepreneurs. We've raised capital from notable investors including Accel Partners, Naspers, and Section32, along with prominent Silicon Valley angels such as Sheryl Sandberg (Facebook/Google), Jerry Yang (Yahoo), Dustin Moskovitz (Facebook/Asana), David Baszucki (Roblox CEO), and Gokul Rajaram (DoorDash, Square, Google).Our team comprises engineers from Google, Microsoft Research, Facebook, Square/Block, and Coinbase — with most hailing from top-tier institutions like Stanford, MIT, UC Berkeley, CMU, and IIT.THE ROLEAs an Engineering Leader at Ema, you will build and lead a high-performance engineering organization — setting the technical standard for reliability and demonstrating a strong execution mindset. You will collaborate directly with the Head of Engineering and co-founders to architect and drive the product roadmap from an engineering standpoint.We are looking for a leader who combines deep, hands-on technical expertise with the executive presence required to attract, mentor, develop, and retain top-tier engineering talent.WHAT YOU'LL DOTeam Building & Engineering CultureRecruit, hire, and develop senior engineers across multiple sub-teams: cloud infrastructure, data platform, ML operations, and developer experience.Establish engineering standards, code review culture, on-call expectations, and a bias-toward-shipping mentality balanced with production rigor.Coach and grow senior/staff engineers into technical leaders; manage engineering managers as the organization scales.Technical Strategy & ExecutionSet the 6–18 month platform roadmap in partnership with engineering teams, balancing foundational investments against product-driven urgency.Make high-stakes architectural decisions — build vs. buy, migration strategies, technology bets — and own the outcomes.Drive cross-functional alignment with product, ML/AI research, and go-to-market teams to ensure the platform evolves in lockstep with customer and product needs.Operational ExcellenceOwn production health for all platform services: incident response, postmortems, SLO tracking, and capacity planning.Establish and iterate on engineering practices that keep the team shipping fast without compromising reliability.Participate in executive-level reviews on infrastructure spend, system health, and engineering velocity.WHAT YOU BRINGRequired12+ years of software engineering experience, with 4+ years leading platform or infrastructure teams of 8+ engineers at high-growth startups or top-tier tech companies.Deep, hands-on expertise in distributed systems.Production experience with container orchestration (Kubernetes), microservices architecture, and at least two major cloud providers (GCP, AWS, Azure).Strong programming ability in Go and Python; you still read code daily and can mentor engineers on systems-level design.Experience building quality software using AI-driven tools.Track record of building internal platforms from scratch that other engineering teams adopt and depend on.Expertise in database internals and performance tuning across SQL, NoSQL, and graph or vector data stores; working knowledge of CAP theorem trade-offs in production.Proven ability to hire, develop, and retain high-caliber engineers in competitive markets.Strongly PreferredExperience building infrastructure for AI/ML workloads: model serving, GPU scheduling, training pipelines, or inference optimization.Familiarity with vector databases, embedding pipelines, RAG architectures, or LLM orchestration frameworks.Experience operating multi-tenant SaaS platforms with strict data isolation and compliance requirements (SOC 2, GDPR, HIPAA).Background in real-time data streaming (Kafka, Pulsar, Flink) and event-driven architecture.Prior success driving large-scale cloud cost optimization initiatives (saving $1M+ annually).WHY EmaGreenfield technical challenges at the intersection of AI infrastructure and enterprise scale — you will build systems that don't exist yet.Direct access to founders and the CTO; your decisions shape the company's technical trajectory.A team of exceptional engineers from Google, Meta, Microsoft Research, and top CS programs worldwide.Competitive compensation, meaningful equity, and the upside of an early-stage company backed by world-class investors.Ema is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you’ll have the opportunity to collaborate on these projects.  Although every project is unique, you might typically: Design original computational STEM problems that simulate real scientific workflows.Create problems that require Python programming to solve.Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches.Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn).Document problem statements clearly and provide verified correct answers.CompensationOn this project, contributors can earn up to $32 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.RequirementsYou hold a Master’s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field.You have at least 5 years of Machine Learning experience with proven business impact.Strong programming skills in Python (numpy, pandas, scipy, sklearn).Solid understanding of numerical methods and computational algorithms.Research or industry experience involving computational problem-solving.Your level of English is advanced (C1) or above.You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you’ll have the opportunity to collaborate on these projects.  Although every project is unique, you might typically: Design original computational STEM problems that simulate real scientific workflows.Create problems that require Python programming to solve.Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches.Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn).Document problem statements clearly and provide verified correct answers.CompensationOn this project, contributors can earn up to $58 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.RequirementsYou hold a Master’s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field.You have at least 5 years of Machine Learning experience with proven business impact.Strong programming skills in Python (numpy, pandas, scipy, sklearn).Solid understanding of numerical methods and computational algorithms.Research or industry experience involving computational problem-solving.Your level of English is advanced (C1) or above.You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you’ll have the opportunity to collaborate on these projects.  Although every project is unique, you might typically: Design original computational STEM problems that simulate real scientific workflows.Create problems that require Python programming to solve.Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches.Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn).Document problem statements clearly and provide verified correct answers.CompensationOn this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.RequirementsYou hold a Master’s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field.You have at least 5 years of Machine Learning experience with proven business impact.Strong programming skills in Python (numpy, pandas, scipy, sklearn).Solid understanding of numerical methods and computational algorithms.Research or industry experience involving computational problem-solving.Your level of English is advanced (C1) or above.You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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About FurtherAIInsurance is a $7 trillion industry that still runs on PDFs, emails, and manual review. At FurtherAI, we're building the AI workspace that changes that — automating the complex, document-heavy workflows that underwriters, claims teams, and brokers deal with every day so insurance professionals can focus on the work that actually matters.We've raised $30M total, including a $25M Series A led by a16z (one of the largest Series A rounds in insurance AI history), with participation from Y Combinator, Nexus Venture Partners, and others. We've grown 10x in revenue this year, and our customers include some of the largest carriers, MGAs, and brokers in the world — including a top-5 global insurance company. Our forward-deployed engineering model means we work side-by-side with customers to stand up real workflows that deliver measurable results fast.About the RoleInsurance Engineer is a new kind of role. It sits at the intersection of insurance domain expertise, technical implementation, and product thinking — and it doesn't really exist anywhere else yet.You're an insurance expert who builds. You can look at a messy workflow, break it into components an AI system can execute, define what "correct" looks like, and measure whether the system actually gets there. You know the Sub/Quote/Bind flow not because someone explained it to you — but because you've lived it. And now you're ready to apply that expertise to build the systems that automate it.You'll own the full lifecycle of AI extraction workflows on our platform: scoping, architecture, prototyping, evaluation, and iteration. You'll work alongside our Forward Deployed Engineers and customers to ship workflows that perform in production at some of the largest carriers, MGAs, and brokers in the world.If you've spent years in insurance operations and you're ready to build the systems that automate it — this is the job.What You'll OwnWorkflow design and build. You'll take complex insurance processes — submission intake, policy comparison, underwriting audits, claims workflows — and turn them into structured, testable AI workflows from scratch.Ground truths and evals. You'll define what accurate, complete outputs look like for every workflow. You'll build evaluation sets, run continuous benchmarks, and surface quality gaps before customers do.Customer implementations. You'll work directly with customers alongside FDEs to configure, test, and iterate workflows toward production — bringing insurance process expertise and technical judgment to every deployment.The bridge between domains. You're the person in the room who understands both sides — able to translate between what an underwriter needs and what an engineering team builds.Who You AreAn insurance operator who thinks like a builder.You've spent meaningful time inside the insurance market — at a carrier, MGA, TPA, broker, or insurtech. You know the Sub/Quote/Bind flow. You understand where the friction lives and why it matters. That domain expertise is your edge — and you're ready to use it to build.Comfortable working technically alongside engineers.You don't need to be a software engineer, but you can write Python, SQL, or equivalent to test logic and validate workflow outputs. You move fast without waiting for someone else to prototype an idea.A structured thinker.You can take a messy insurance process and break it into clean, testable components. You know how to define what "correct" looks like — and build evaluations that surface real quality issues, not just happy path tests.Implementation-minded and customer-facing.You've worked directly with customers in a technical capacity — solutions engineering, professional services, or implementation — and you know how to navigate the gap between what a customer asks for and what actually needs to be built.Qualifications4–8 years in insurance operations, technical implementation, solutions engineering, or technical product management — ideally with direct insurance industry exposure at a carrier, MGA, TPA, broker, or insurtechHands-on familiarity with core insurance workflows: Sub/Quote/Bind, underwriting, policy management, or claimsTech-forward mindset — you're already using ChatGPT, Claude, and other AI tools in your personal and professional life, not waiting to be told toImplementation-minded — you've worked directly with customers or end users in a technical capacity and know how to navigate the gap between what a customer asks for and what actually needs to be builtAbility to prototype or script workflows — Python, SQL, JSON/YAML configs, or similar; you move fast technically without waiting for an engineerComfort with evaluation concepts: defining ground truth, measuring precision/recall tradeoffs, and building eval sets that surface real quality issuesWhy FurtherAIReal ownership. You'll be an early team member shaping a category-defining product in a $7 trillion industry.Hands-on impact. Every workflow you build ships to real customers at some of the largest insurance companies in the world.Strong backing. $30M raised, a16z-led, 10x revenue growth — the resources and momentum to build something lasting.Collaborative, low-ego team. Close-knit team working across product, engineering, and go-to-market. No silos.Competitive compensation. Base salary, equity, and full benefits.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you’ll have the opportunity to collaborate on these projects.  Although every project is unique, you might typically: Design original computational STEM problems that simulate real scientific workflows.Create problems that require Python programming to solve.Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches.Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn).Document problem statements clearly and provide verified correct answers.CompensationOn this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.RequirementsYou hold a Master’s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field.You have at least 5 years of Machine Learning experience with proven business impact.Strong programming skills in Python (numpy, pandas, scipy, sklearn).Solid understanding of numerical methods and computational algorithms.Research or industry experience involving computational problem-solving.Your level of English is advanced (C1) or above.You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you’ll have the opportunity to collaborate on these projects.  Although every project is unique, you might typically: Design original computational STEM problems that simulate real scientific workflows.Create problems that require Python programming to solve.Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches.Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn).Document problem statements clearly and provide verified correct answers.CompensationOn this project, contributors can earn up to $46 per hour equivalent, depending on their level and pace of contribution.Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.RequirementsYou hold a Master’s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field.You have at least 5 years of Machine Learning experience with proven business impact.Strong programming skills in Python (numpy, pandas, scipy, sklearn).Solid understanding of numerical methods and computational algorithms.Research or industry experience involving computational problem-solving.Your level of English is advanced (C1) or above.You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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About Distyl AI Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations. We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys. Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business.What We’re Looking ForWe’re opening an office in London, UK and looking for AI Engineers to design and deploy production-grade AI systems powered by LLMs.At Distyl, AI Engineers work directly with Fortune 500 companies to transform complex workflows using cutting-edge AI. You’ll build and ship real-world AI applications — from intelligent agents to full-stack AI products — and see them operate at scale in mission-critical environments.This role is highly hands-on. You’ll collaborate closely with customers, define system architectures, and build reliable, high-impact AI systems from prototype to production. Engineers at Distyl also help shape technical direction across major customer engagements, guiding enterprise teams through AI adoption and deployment.Key ResponsibilitiesBuild Production AI Systems: Design, develop, and deploy robust AI applications using LLMs, including prompt engineering, agent workflows, tool use, and full-stack AI productsWork Directly with Customers: Partner closely with enterprise stakeholders to understand complex problems and translate them into impactful AI solutionsLead System Architecture: Design scalable architectures for production AI systems, balancing performance, reliability, cost, and maintainabilityDevelop Our Internal Platform: Contribute to Distillery, our internal LLM application platform, by building reusable infrastructure, tools, and workflows used across customer deploymentsEvaluate AI Systems Rigorously: Develop evaluation frameworks that measure model performance across accuracy, latency, cost, reliability, and safetyShip Production-Grade Systems: Ensure systems meet high standards for observability, reliability, security, and maintainabilityRaise the Engineering Bar: Improve development workflows, evaluation practices, and deployment strategies as our AI platform continues to evolveWho You Are3+ years of professional software engineering experienceStrong proficiency in Python or TypeScriptExperience building and deploying LLM-powered applications or AI agents in productionExperience with modern LLM tooling such as LangChain, LlamaIndex, Guardrails, MCP, or agent frameworksExperience implementing RAG pipelines, tool use, or multi-step AI workflowsStrong understanding of AI system evaluation, debugging, and observabilityExperience building reliable production systems with modern DevOps practicesExperience deploying AI systems in enterprise environments is a plusExperience working across cloud platforms (AWS, GCP, or Azure) is a plusExperience with agent architectures and long-horizon task execution is a plusFamiliarity with responsible AI practices, including auditability and governance is a plusWhat We OfferCompetitive salary, meaningful equity, and a comprehensive benefits packagePrivate medical, dental, and vision cover for you and your familyGenerous holiday allowanceLunch provided on office daysAccess to state-of-the-art models, generous usage of modern AI tools, and real-world business problemsOwnership of high-impact projects across top enterprisesA mission-driven, fast-moving culture that prizes curiosity, pragmatism, and excellence

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About FurtherAIAt FurtherAI, we’re building the next generation of AI agents for the insurance industry - a trillion-dollar market ready for transformation.We’ve raised more than $30M from top investors (Andreesen Horowitz, YC, Nexus, South Park Commons, Converge) and have grown 10x in revenue this year alone. Our customers include some of the largest names in insurance (we recently closed a top 5 insurance company in the world), and our team combines deep AI expertise with proven company-building experience.Now, we’re looking for an exceptional Software/AI Engineer (New Grad) to join our early team and help shape both our product and culture. About the RoleWe’re looking for a Software / AI Engineer (New Grad) to join our engineering team and help build the foundation of FurtherAI’s AI Workspace for Insurance.In this role, you’ll work on end-to-end product features spanning AI model integration, data processing pipelines, and scalable backend systems. You’ll collaborate closely with senior engineers, AI researchers, and founders to bring real-world insurance workflows to life — transforming how underwriters, claims adjusters, and brokers get work done.This is a rare opportunity to join a technical, high-performing early team and grow quickly alongside the company. Why Join FurtherAI?High Impact: Work on technology that’s redefining how AI powers the modern insurance enterprise.Hands-On Learning: Collaborate directly with senior engineers, AI scientists, and founders building real applied AI.Mission-Driven: Help modernize one of the world’s most complex industries with practical, explainable AI.Early Team: Gain full visibility into product, research, and customer impact — shaping the foundation of our AI Workspace for Insurance as we scale. Responsibilities:Develop, test, and deploy production-level code across our backend and AI systems.Collaborate with AI researchers to integrate and optimize large language models for insurance workflows.Build data processing and evaluation pipelines for unstructured document inputs (PDFs, emails, images).Contribute to core infrastructure, from APIs to orchestration logic powering our AI Workspace for Insurance.Work cross-functionally with product and customer teams to identify and solve real business problems with AI.Participate in design reviews, code reviews, and rapid iteration cycles.You Might Be a Fit if You:Are a recent CS, EE, or related STEM graduate (Bachelor’s or Master’s) with a strong foundation in software engineering.Have hands-on experience with Python, TypeScript/JavaScript, or similar modern languages.Understand or are excited to learn about large language models (LLMs), NLP, or applied AI systems.Are curious, resourceful, and comfortable working in fast-moving, ambiguous environments.Want to see your code drive visible impact in the real world — not just in research.Bonus:Previous internship or project experience in AI/ML or full-stack development.Experience working with frameworks like PyTorch, LangChain, or FastAPI.Interest in insurance, fintech, or other regulated industries.Tech Stack - Python, FastAPI, TypeScript, Next.js, React, PostgreSQL, AWS, LangChain, OpenAI APICompensation and BenefitsFully covered, best-in-class health, dental, and vision benefitsCompetitive Compensation, meaningful stock options, company 401(k)Unlimited PTOOutstanding in-office culture in the heart of San FranciscoLunch and dinner onsiteTeam events, such as happy hours and off-sitesPre-tax Commuter benefits