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About BroccoliBroccoli is building the AI operating system for the $500B home services market. We deploy intelligent AI agents at the front lines of HVAC, roofing, and other trades businesses to answer calls, engage customers, book jobs, and ensure every lead is captured.Backed by top VCs, we closed a $27M Series A and are scaling fast. We work with leading PE-backed home services platforms and plan to 5x headcount in 2026, creating a rare opportunity to join early and have outsized impact.Why Join BroccoliMake an Immediate Impact: You’ll ship production features used by real customers within your first few weeksCategory-Defining Work: Help shape how AI employees operate in the $600B home services marketMove Fast: We ship in weeks, not quarters—speed and execution matter hereHigh Ownership: Small team, high trust, and direct collaboration with foundersReal-World Scale: Build systems that handle live voice traffic, real revenue, and operational complexityWhat You’ll DoBuild and scale our AI agent platform, backend services, and internal toolingDesign and develop APIs and deep integrations with platforms like ServiceTitanOwn full product features end-to-end—from idea and design to production and iterationImprove agent intelligence, reliability, and real-time voice performanceWork closely with Product, Customer Success, and Sales to ship high-impact featuresHelp evolve our infrastructure as we scale usage, customers, and revenue What We’re Looking For2–5 years of experience in backend or full-stack software engineeringStrong engineering fundamentals and product intuitionComfortable working in fast-paced, ambiguous startup environmentsExperience building and operating production systems and APIsOwnership mindset—you care deeply about what you ship and how it performs Why BroccoliProven Momentum: $7M ARR today, scaling quicklyElite Backing: $27M raised, Series A led by Khosla VenturesMeaningful Ownership: Equity that reflects real impactCustomer-Driven Engineering: What you build directly affects how customers operateBeautiful South Park Office: Work in-person with a tight-knit, ambitious team

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About BroccoliBroccoli is building the AI operating system for the $500B home services market. We deploy intelligent AI agents at the front lines of HVAC, roofing, and other trades businesses to answer calls, engage customers, book jobs, and ensure every lead is captured.Backed by top VCs, we closed a $27M Series A and are scaling fast. We work with leading PE-backed home services platforms and plan to 5x headcount in 2026, creating a rare opportunity to join early and have outsized impact.Why Join BroccoliAs a Staff Engineer, you’ll play a critical role in shaping the technical foundation of Broccoli AI. You’ll own core systems, influence architectural decisions, and help define how we build and ship at scale.Immediate Impact: Your work goes directly into production and affects hundreds of customersCategory Creation: Help define a new class of AI-powered employees in a massive marketSpeed & Ownership: Small team, fast feedback loops, and real decision-making powerFounder Collaboration: Work directly with repeat founders on product and technical directionWhat You’ll DoDesign, build, and scale backend systems and internal tooling for our AI agent platformOwn critical APIs and integrations with systems like ServiceTitanLead complex features end-to-end, from early design through production rolloutImprove real-time voice performance, reliability, and AI agent intelligenceMentor engineers and help establish best practices across the teamBalance speed and quality while scaling systems that handle live customer trafficWhat We’re Looking For7+ years of experience in backend or full-stack engineeringStrong system design and architectural judgmentExperience shipping and operating production systems at scaleComfortable in high-growth, ambiguous startup environmentsOwnership mindset and a bias toward executionWhy BroccoliProven Momentum: $7M ARR and rapidly scalingElite Backing: $27M raised, Series A led by Khosla VenturesMeaningful Equity: Ownership aligned with impactReal-World AI: Build systems that run businesses, not experimentsSouth Park Office: Work in-person with a high-trust, ambitious team

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About BroccoliBroccoli is building the AI operating system for the $500B home services market. We deploy intelligent AI agents at the front lines of HVAC, roofing, and other trades businesses to answer calls, engage customers, book jobs, and ensure every lead is captured.Backed by top VCs, we closed a $27M Series A and are scaling fast. We work with leading PE-backed home services platforms and plan to 5x headcount in 2026, creating a rare opportunity to join early and have outsized impact.Why Join BroccoliMake an Immediate Impact: You’ll ship production features used by real customers within your first few weeksCategory-Defining Work: Help shape how AI employees operate in the $600B home services marketMove Fast: We ship in weeks, not quarters—speed and execution matter hereHigh Ownership: Small team, high trust, and direct collaboration with foundersReal-World Scale: Build systems that handle live voice traffic, real revenue, and operational complexityWhat You’ll DoBuild and scale our AI agent platform, backend services, and internal toolingDesign and develop APIs and deep integrations with platforms like ServiceTitanOwn full product features end-to-end—from idea and design to production and iterationImprove agent intelligence, reliability, and real-time voice performanceWork closely with Product, Customer Success, and Sales to ship high-impact featuresHelp evolve our infrastructure as we scale usage, customers, and revenue What We’re Looking For4-8 years of experience in backend or full-stack software engineeringStrong engineering fundamentals and product intuitionComfortable working in fast-paced, ambiguous startup environmentsExperience building and operating production systems and APIsOwnership mindset—you care deeply about what you ship and how it performs Why BroccoliProven Momentum: $7M ARR today, scaling quicklyElite Backing: $27M raised, Series A led by Khosla VenturesMeaningful Ownership: Equity that reflects real impactCustomer-Driven Engineering: What you build directly affects how customers operateBeautiful South Park Office: Work in-person with a tight-knit, ambitious team

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About Nooks.ai:Nooks is the AI Sales Assistant Platform (ASAP) that automates the busywork so reps can focus on the human part of selling and generate more sales pipeline. Nooks has helped thousands of sales reps hit quota, saved customers hundreds of thousands of hours, and powered hundreds of millions of dollars in pipeline. Nooks is loved by sales teams at companies like Hubspot, Rippling, and Toast, and hundreds more. For more information, visit Nooks.ai http://Nooks.ai.About the Role: We are looking for a Senior Engineer to join our engineering team. In this role, you will work at the forefront of LLMs and AI agents to transform the way enterprises do outbound sales and generate pipeline. You will have the opportunity to help scale our existing products and build new products alongside our customers. As a senior member of the team, you'll work closely with the engineering leadership team to shape technical and product vision. If you're passionate about working in a fast-paced environment and help build a category defining sales product, we want to hear from you.What you’ll do:Build and maintain scalable, high-performance applications across the full stackLead the design and implementation of new features in our core platformCollaborate closely with product, design, and other engineering teams to deliver impactful solutionsArchitect and develop front-end components using React and TypeScriptWork on back-end services and APIs with Node.js and PythonMentor and guide junior engineers in best practices, coding standards, and architectural principlesOwn the end-to-end delivery of features, from ideation to productionContinuously improve the performance, scalability, and reliability of our applicationsContribute to the company’s technical roadmap, setting standards for code quality and development processesHelp define and evolve the team’s engineering cultureWe’re looking for someone who has:At least 6 years of experience in full-stack engineering, with expertise in React, TypeScript, Node.js, and PythonProven technical leadership experience for at least 1 year, ideally with some experience in mentoring junior engineersDemonstrated ability to thrive in fast-paced and high-growth environmentsStrong communication skills and the ability to work effectively in a team-oriented environmentPast experience working at a startup or fast-growing tech company Compensation at Nooks for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options, comprehensive health, dental, vision, life and disability insurance coverage, hybrid work, and unlimited paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.We offer competitive compensation because we want to hire the best people and reward them for their contributions to our mission. Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $215K - $280K annually.Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.Nooks is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.Equal Employment Opportunity StatementNooks is an equal opportunity employer committed to fostering a diverse and inclusive workforce. We believe in providing equal employment opportunities to all individuals regardless of race, color, religion, gender, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other characteristic protected by law. Nooks does not discriminate in hiring, promotion, compensation, or any other employment practices, and we are committed to ensuring a workplace that is free from discrimination, harassment, and retaliation. We encourage individuals from all backgrounds to apply and join our team.

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About Nooks.ai:Nooks is the AI Sales Assistant Platform (ASAP) that automates the busywork so reps can focus on the human part of selling and generate more sales pipeline. Nooks has helped thousands of sales reps hit quota, saved customers hundreds of thousands of hours, and powered hundreds of millions of dollars in pipeline. Nooks is loved by sales teams at companies like Hubspot, Rippling, and Toast, and hundreds more. For more information, visit Nooks.ai http://Nooks.ai.About the Role: We are looking for a Senior Engineer to join our engineering team. In this role, you will work at the forefront of LLMs and AI agents to transform the way enterprises do outbound sales and generate pipeline. You will have the opportunity to help scale our existing products and build new products alongside our customers. As a senior member of the team, you'll work closely with the engineering leadership team to shape technical and product vision. If you're passionate about working in a fast-paced environment and help build a category defining sales product, we want to hear from you.What you’ll do:Build and maintain scalable, high-performance applications across the full stackLead the design and implementation of new features in our core platformCollaborate closely with product, design, and other engineering teams to deliver impactful solutionsArchitect and develop front-end components using React and TypeScriptWork on back-end services and APIs with Node.js and PythonMentor and guide junior engineers in best practices, coding standards, and architectural principlesOwn the end-to-end delivery of features, from ideation to productionContinuously improve the performance, scalability, and reliability of our applicationsContribute to the company’s technical roadmap, setting standards for code quality and development processesHelp define and evolve the team’s engineering cultureWe’re looking for someone who has:At least 8 years of experience in full-stack engineering, with expertise in React, TypeScript, Node.js, and PythonProven technical leadership experience for at least 1 year, ideally with some experience in mentoring junior engineersDemonstrated ability to thrive in fast-paced and high-growth environmentsStrong communication skills and the ability to work effectively in a team-oriented environmentPast experience working at a startup or fast-growing tech company Compensation at Nooks for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options, comprehensive health, dental, vision, life and disability insurance coverage, hybrid work, and unlimited paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.We offer competitive compensation because we want to hire the best people and reward them for their contributions to our mission. Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $250K - $325K annually.Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.Nooks is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.Equal Employment Opportunity StatementNooks is an equal opportunity employer committed to fostering a diverse and inclusive workforce. We believe in providing equal employment opportunities to all individuals regardless of race, color, religion, gender, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other characteristic protected by law. Nooks does not discriminate in hiring, promotion, compensation, or any other employment practices, and we are committed to ensuring a workplace that is free from discrimination, harassment, and retaliation. We encourage individuals from all backgrounds to apply and join our team.

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About the Company:Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences. Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!About the RoleAs an Agentic Product Analyst at Netomi, you will be the strategic and technical owner responsible for designing, architecting, and deploying large-scale Agentic AI solutions for enterprise customers. You will translate complex business processes into AI-driven workflows, define integration blueprints, and guide customers through their transformation to autonomous AI agents. You will work closely with Customers, CSM, Integration Engineers, QA, Product, and Engineering to ensure end-to-end success of every deployment.ResponsibilitiesLead discovery sessions with enterprise customers to understand business processes, operations, workflows, KPIs, and constraints.Identify automation opportunities and design agentic orchestration strategies using Netomi’s AI platform.Build detailed solution blueprints — workflows, data exchanges, escalation logic, guardrails, analytics, and agent lifecycle design.Define end-to-end Agentic AI architectures, covering intents, actions, tools, integration points, and decision logic.Work with customer technical teams to map integration dependencies (APIs, events, SSO, CRMs, ticketing systems, internal tools).Own the creation of integration design documents and support Integration Engineers during implementation.Ensure agent workflows comply with enterprise standards (security, reliability, audit, governance).Collaborate with Product & Engineering to translate customer requirements into features or enhancements.Serve as the product owner during deployment — driving priorities, clarifications, acceptance criteria, and workflow evolution.Validate solution behavior end-to-end with QA and guide test plans, scenario tests, and success criteria.Conduct user-experience reviews of agent outputs and behavior tuning.Act as a trusted advisor to customer stakeholders (CX, Ops, Digital Transformation, Engineering).Present architectural recommendations, best practices, and roadmap suggestions.Train customer teams on agentic workflows, governance, and performance improvement strategies.Ensure projects are delivered on time with high quality, low rework, and measurable impact.Drive continuous improvement through playbooks, reusable workflow templates, and integration patterns.Maintain deep expertise in agentic AI, LLMs, workflow orchestration, and enterprise systems.Requirements3–5 years in Solutions Architecture / Implementation Consulting / Product Consulting / Workflow Design for enterprise SaaS or AI platforms.Experience designing complex workflows and integrations across enterprise systems.Ability to gather requirements, translate them into technical specifications, and drive execution.Customer-facing consulting experience with strong communication & facilitation skills.Understanding of REST APIs, event-driven systems, data flows, and enterprise integrations.Experience working cross-functionally with CSM, engineering, product, and QA teams.Nice-to-HaveBackground in Conversational AI, Agentic AI, RPA, Automation, CRM/Ticketing, or LLM-based products.Hands-on experience defining business logic, decision trees, or automated workflows.Experience with enterprises such as airlines, BFSI, telecom, retail, or large-scale customer support environments.Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

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About the RoleOur technology is raising strong interest from the engineering world, and the number of our users is growing quickly. As a key player in the Application Team, your mission will be to help industry leaders to redefine their product design workflow with the latest technologies. Your expertise should establish trust and admiration from our customers by delivering high-quality technical work. This is a chance to be at the intersection of engineering and AI, working with top-tier clients worldwide while shaping how the industry evolves. If you are interested in feeling firsthand the fast progress of engineering, this is the team for you.What you will do Implement projects together with the customer’s engineering teams, develop tailored solutions and analyse data for each project using Python Apply our deep-learning tools to different engineering/physics problemsDeliver proofs-of-concept demonstrating how our technology creates value in CAD, CAE and manufacturing workflows. Train customer teams to effectively use the NC platform, ensuring smooth AI adoption into their workflowsWork closely with the product team to translate customer feedback into product improvements. Who you are You are eager to tackle real-world challenges through machine learning and automation, with a passion for reshaping how engineering is practiced by industry leaders.You have an excellent understanding of both Engineering and Machine Learning (strict requirement)You have experience with simulation. Industry experience in CAD / CAE (CFD, FEM, etc) modelling is a plus You hold a master’s degree in engineering, Applied Mathematics, or Physics You have strong experience with Python programming, and experience with machine learning and deep learning frameworks and libraries You have excellent communication skills, enjoy working with people, and feel comfortable in the customer-facing roleYou can convey technical concepts to both technical and non-technical stakeholders in a clear and compelling way What You Get Work with a world-class technology team – our engineers are top-notch, and we always aim for excellence.Benefit from a competitive salary and rewarding opportunities as we continue to scale.Thrive in a collaborative, multicultural environment where your work is visible and recognized.Develop professionally alongside talented colleagues who share knowledge freely and support one another.Make a global impact by helping customers shift to AI-assisted design, making innovation faster, smarter, and more sustainable.Balance life and work with a hybrid model and flexible hours—we care about results, not rigid schedules.Enjoy 25 days of paid vacations per year, healthcare 100% offered by the company (medical/vision/dental), 401K matchingWhere You Will BeNew Jersey officeTravelling: This position will require travelling to customer locations in the US.Start date: ASAPEligibility: Applicants with a valid work permit in the USA. We do not provide a sponsorship for the US visa.We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.

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About the Company:Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences. Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!About the RoleAs an Agentic Product Manager at Netomi, you will be the strategic and technical owner responsible for designing, architecting, and deploying large-scale Agentic AI solutions for enterprise customers. You will translate complex business processes into AI-driven workflows, define integration blueprints, and guide customers through their transformation to autonomous AI agents. You will work closely with Customers, CSM, Integration Engineers, QA, Product, and Engineering to ensure end-to-end success of every deployment.ResponsibilitiesLead discovery sessions with enterprise customers to understand business processes, operations, workflows, KPIs, and constraints.Identify automation opportunities and design agentic orchestration strategies using Netomi’s AI platform.Build detailed solution blueprints — workflows, data exchanges, escalation logic, guardrails, analytics, and agent lifecycle design.Define end-to-end Agentic AI architectures, covering intents, actions, tools, integration points, and decision logic.Work with customer technical teams to map integration dependencies (APIs, events, SSO, CRMs, ticketing systems, internal tools).Own the creation of integration design documents and support Integration Engineers during implementation.Ensure agent workflows comply with enterprise standards (security, reliability, audit, governance).Collaborate with Product & Engineering to translate customer requirements into features or enhancements.Serve as the product owner during deployment — driving priorities, clarifications, acceptance criteria, and workflow evolution.Validate solution behavior end-to-end with QA and guide test plans, scenario tests, and success criteria.Conduct user-experience reviews of agent outputs and behavior tuning.Act as a trusted advisor to customer stakeholders (CX, Ops, Digital Transformation, Engineering).Present architectural recommendations, best practices, and roadmap suggestions.Train customer teams on agentic workflows, governance, and performance improvement strategies.Ensure projects are delivered on time with high quality, low rework, and measurable impact.Drive continuous improvement through playbooks, reusable workflow templates, and integration patterns.Maintain deep expertise in agentic AI, LLMs, workflow orchestration, and enterprise systems.Requirements6-10 years in Solutions Architecture / Implementation Consulting / Product Consulting / Workflow Design for enterprise SaaS or AI platforms.Experience designing complex workflows and integrations across enterprise systems.Ability to gather requirements, translate them into technical specifications, and drive execution.Customer-facing consulting experience with strong communication & facilitation skills.Understanding of REST APIs, event-driven systems, data flows, and enterprise integrations.Experience working cross-functionally with CSM, engineering, product, and QA teams.Nice-to-HaveBackground in Conversational AI, Agentic AI, RPA, Automation, CRM/Ticketing, or LLM-based products.Hands-on experience defining business logic, decision trees, or automated workflows.Experience with enterprises such as airlines, BFSI, telecom, retail, or large-scale customer support environments.Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

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About the RoleMaki is building the AI-powered solution that transforms talent acquisition and talent management. As a software engineer, you will have ownership over the full lifecycle of our AI products. You will:Scope and lead technical projects with a full-stack perspective, balancing speed and quality.Build reliable systems out of unpredictable components. You will figure out how to make AI agents consistently effective in a real-world environment.Keep our stack on the bleeding edge by leveraging the latest advancements in LLMs, vision models, and agent architectures.Work cross-functionally to unblock growth. You will collaborate with stakeholders to identify user pain points and engineer solutions that solve them immediately.Who You AreWe’re looking for fast-moving, product-minded full-stack engineers who want to have outsized impact and ownership on a lean, high-performing team. We’re looking for someone who is:Autonomous: You drive projects to completion and thrive in environments where you can take the lead.Forward-Thinking: You are fascinated by the potential of AI and want to be hands-on in applying these technologies.Foundational: You want to be part of a high-growth journey, helping us build our technology and our culture from the ground up.As for our tech stack:BackendTypescript, Python, PostgreSQL, Google CloudFrontendReactJS, Typescript, GraphQLWe are optimizing for the best talent and offer competitive compensation to match. If you're excited about redefining the future of AI-powered hiring, we’d love to hear from you!Recruitment ProcessMochi Screening: Experience our product firsthand.Hiring Manager Interview.Coding Assessment.System Design Interview.Final Round with the CEO.

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Senior Machine Learning EngineerFull-time | Munich | Seed Stage | Equity + SalaryHelp Build a Generational CompanyAt Knowlix, we’re on a mission to 10x small businesses' productivity. We strive to become the dominant small business platform for human-AI and AI-to-AI collaboration.We’re still early, but we’re thinking big. This is your opportunity to help shape a product that serves millions and defines a category.We move fast, ship often, and obsess over quality. If you burn to build, ship, and scale - and you love using AI to make things radically better - this is your seat at the table.Why Knowlix, Why NowWe're a well-funded seed-stage startup, backed by top-tier investors and experienced foundersOur tech works - and first users are already feeling the first magicWe're going after a massive market, with a product that changes how people workYou’ll be joining as one of the earliest team members - with real influence and ownership over the trajectory of the companyWe believe speed is a function of focus + iterationThis isn’t a job. It’s a chance to help build a once-in-a-generation company if we do things right. The RoleYou will design and ship advanced ML systems - especially LLM-driven agents and self-improving workflows. You’ll build robust data and training pipelines, enable fast experimentation, and ensure models and agents continuously improve in production. This is a hands-on role in a fast-moving startup where you ship, measure, and iterate quickly. What You'll DoBuild LLM-based agents, tool-using workflows, and autonomous self-improvement loops.Design, train, and evaluate ML models across NLP/LLM, vision, and retrieval domains.Develop data pipelines, training code, experiment tooling, and automated deployment systems.Use PyTorch for model development and W&B (or similar) for tracking experiments and lineage.Implement monitoring for performance, drift, safety, and agent behavior.Optimize inference for latency, throughput, and cost.Work closely with engineering and product to turn prototypes into reliable production features.Establish ML engineering best practices and mentor teammates.What You Bring (Requirements)5+ years experience deploying ML systems to production.Strong Python and deep experience with PyTorch.Hands-on experience with LLMs, retrieval (RAG), tool-use, or agent frameworks (e.g., LangGraph, AutoGen).Strong command of experiment management, versioning, and reproducibility using tools like W&B, MLflow, or similar.Solid understanding of data engineering and cloud infrastructure for ML workloads.Ability to take ambiguous ideas to production in a fast-paced startup environment.You’ll Thrive Here If You… (Preferred)Experience with reinforcement learning, self-evaluating or self-correcting agents.Publications or patents.Experience with model compression/optimization (quantization, distillation).Familiarity with safety evaluation, alignment techniques, and responsible AI practices.What You’ll GetA path-defining role in a high-upside company backed by world-class investorsDeep ownership and equityA team that cares deeply about what we’re building and the people we build it withA rare chance to leave your mark on something that has the opportunity to become generational

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Intrinsic is Alphabet’s bet aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core.  Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.Role As a Senior AI Research Scientist for Vision-guided robotics you will lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks. You will explore the intersection of computer vision and robotic control, designing systems that allow robots to perceive and interact with objects in dynamic environments. Your work will involve creating models that integrate visual data to guide physical manipulation, moving beyond simple grasping to sophisticated handling of diverse items. You will collaborate with a multidisciplinary team of engineers and researchers to translate cutting-edge concepts into robust capabilities that can be deployed on physical hardware for industrial applications.   How your work moves the mission forward Research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios. Design algorithms that enable robots to manipulate complex or deformable objects with high precision. Collaborate with software engineers to optimize and deploy research prototypes onto physical robotic hardware. Evaluate model performance in both simulation and real-world environments to ensure robustness and reliability. Identify opportunities to apply state-of-the-art advancements in computer vision and robot learning to practical industrial problems. Mentor junior researchers and contribute to the technical direction of the manipulation research roadmap.   Skills you will need to be successful PhD in Computer Science, Robotics, or a related field with a focus on machine learning or computer vision. 3 years of experience in applied research focused on robotic manipulation or robot learning. Proficiency in programming with Python and C++. Experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow. Experience developing algorithms for vision-based manipulation or contact-rich interaction. Publication record in top-tier robotics or AI conferences (e.g., ICRA, IROS, CVPR, NeurIPS).    Skills that will differentiate your candidacy Experience with reinforcement learning or imitation learning for robotics. Familiarity with physics simulators like MuJoCo, Isaac Sim, or Gazebo. Experience integrating tactile sensors with visual perception systems Experience in LfD (Learning from Demonstrations), kinesthetic learning Background in sim-to-real transfer techniques for manipulation policies. Experience with transformer-based architectures or foundation models in a robotics context Experience deploying machine learning models on edge compute hardwar​e  At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.

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Intrinsic is Alphabet’s bet aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core.  Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.Role As a Senior AI Research Scientist for Vision-guided robotics you will lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks. You will explore the intersection of computer vision and robotic control, designing systems that allow robots to perceive and interact with objects in dynamic environments. Your work will involve creating models that integrate visual data to guide physical manipulation, moving beyond simple grasping to sophisticated handling of diverse items. You will collaborate with a multidisciplinary team of engineers and researchers to translate cutting-edge concepts into robust capabilities that can be deployed on physical hardware for industrial applications.   How your work moves the mission forward Research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios. Design algorithms that enable robots to manipulate complex or deformable objects with high precision. Collaborate with software engineers to optimize and deploy research prototypes onto physical robotic hardware. Evaluate model performance in both simulation and real-world environments to ensure robustness and reliability. Identify opportunities to apply state-of-the-art advancements in computer vision and robot learning to practical industrial problems. Mentor junior researchers and contribute to the technical direction of the manipulation research roadmap.   Skills you will need to be successful PhD in Computer Science, Robotics, or a related field with a focus on machine learning or computer vision. 3 years of experience in applied research focused on robotic manipulation or robot learning. Proficiency in programming with Python and C++. Experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow. Experience developing algorithms for vision-based manipulation or contact-rich interaction. Publication record in top-tier robotics or AI conferences (e.g., ICRA, IROS, CVPR, NeurIPS).    Skills that will differentiate your candidacy Experience with reinforcement learning or imitation learning for robotics. Familiarity with physics simulators like MuJoCo, Isaac Sim, or Gazebo. Experience integrating tactile sensors with visual perception systems Experience in LfD (Learning from Demonstrations), kinesthetic learning Background in sim-to-real transfer techniques for manipulation policies. Experience with transformer-based architectures or foundation models in a robotics context Experience deploying machine learning models on edge compute hardwar​e  At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 700+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started. Role OverviewAs a Product Backend Engineer on Harvey’s product engineering team, you will design and operate the backend systems that turn cutting-edge AI capabilities into seamless, dependable product experiences. You’ll build secure, multi-tenant services, orchestrate interactions with LLMs and agentic tools, and help define the backend architecture that powers Harvey’s rapidly expanding product surface. Your work will have immediate business and customer impact as you ship the foundational systems behind our next generation of AI products.What You'll DoCollaborate closely with Product to prioritize customer-focused work and deliver reliable features quickly in a fast-moving environment.Design and own backend services and APIs that power Harvey’s web applications, workflows, and integrations.Model and manage data in Postgres and related data stores to support low-latency, reliable user experiences.Build secure, multi-tenant, permissions-aware systems with appropriate auditing for enterprise and government customers.Implement backend features and workflows that use LLMs and agentic tools, orchestrating calls to our AI systems from robust, well-structured services.Collaborate with frontend, product, and design partners to shape solutions, define clear API contracts, and ship features end-to-end.Add meaningful logging, metrics, and tracing so services are observable, debuggable, and ready for on-call ownership.Improve performance and scalability by profiling bottlenecks, tuning queries, and refining service boundaries as usage grows.Participate in code reviews, technical design discussions, and an on-call rotation for the services you own.What You Have5+ years of backend engineering experience building and operating production web applications or SaaS products.Track record of building fast-growing SaaS products by leveraging PWA technologiesTrack record of shipping highly intuitive products, strong attention to detailStrong programming skills in Python and experience with a modern web framework (e.g., FastAPI or Flask).Hands-on experience with relational databases (e.g., Postgres)Solid understanding of API design, authentication/authorization, background job patterns, and robust error handling.Experience building for Cloud Infrastructure such as Azure, AWS, or GCP.Comfort operating services in production using logs, metrics, dashboards, and alerts, including participation in an on-call rotation.#LI-KV1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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About the Team The Knowledge Innovation team is scaling OpenAI with OpenAI. We are building a model powered knowledge system that evolves and learns as our products, systems and customers evolve. We leverage our state of the art models, technologies, and products (some external, some still in the lab) to assist or completely automate robust operations supporting both internal and external customers. We support OpenAI customers and internal partners globally, powering systems from customer support to integrity to product insights. We are a self-contained multi-disciplinary team, who enjoy a lightning fast feedback loop with customers at scale, some of whom sit just a few pods away. We iterate fast, and engineer for reliable long-term impact. We're constantly looking for the similarities and patterns in different types of work, and focus on building simple primitives, to apply world class knowledge to many domains. The work of this team exemplifies use of OpenAI technologies. We build systems so everyone can see the leverage that is possible with well designed AI-based implementations. We do this by working through internal use cases focused on Customers (specifically knowledge systems, automation systems, and automated agent systems) to prove impact, then we scale. About the Role We’re looking for a Backend Software Engineer to help architect and scale the infrastructure that powers our knowledge systems. This is a deeply technical and highly cross-functional role where you’ll build robust systems and backend services that serve as the foundation for how knowledge is created, accessed, and applied across OpenAI. In this role, you will:Design, build, and maintain backend services and APIs to support intelligent automation and knowledge systemsIntegrate and structure data across internal platforms, transforming it into formats optimized for use by downstream systems and AI workflows.Collaborate closely with product, research, and engineering teams to integrate OpenAI models into high-leverage workflowsOwn the full development lifecycle of new backend systems and internal platform capabilitiesBuild with scale and maintainability in mind, while rapidly iterating on new ideas You might be a great fit if you have:4+ years of backend engineering experience at product-driven companies (excluding internships)Proficiency in backend technologies. Our tech stack includes Python, FastAPI, and PostgresExperience designing and scaling distributed systems, APIs, or data processing pipelinesA pragmatic mindset. You’re comfortable shipping iteratively while building toward a long-term visionAn interest in structured knowledge representation, internal search, agent infrastructure, or systems that evolve over time Curiosity about AI/ML and excitement to work alongside world-class research and product teams (hands-on experience is a bonus, not a must)About 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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Our Vision & Products🚀 EverAI — Building the Future of AI CompanionshipOne of the Top 15 Largest & Fastest-Growing AI Companies in the World35+ Million Users in 2 years — Help Us Reach 100M first, 500M nextAt EverAI, we’re shaping what it means to connect with AI. With 35+ million users and counting, we're not just building products — we're creating entirely new categories.Our flagship product is the world’s largest AI girlfriend/boyfriend platform, redefining relationships for millions. It is governed by our proprietary moderation system, EverGuard — an internal AI designed to ensure everything we build is safe, ethical, and human-first.And we’re only just getting started!Our TeamWe are an enthusiastic, passionate and hardworking team of 70 people. Our founding team has strong entrepreneurial experience building and scaling web products from 0 to IPO.Alexis Soulopoulos [CEO]• 10+ years in Tech Executive Leadership• Co-Founder Mad Paws Holdings (from 0 to IPO)• Forbes 30 under 30 + Deloitte TechFast50 ’22 & ‘23Michael Monin [Co-founder & CTO]• 10+ years as CTO / COO (web2/web3), 1+ year in AI/LLM• Serial-entrepreneur: MTK Digital (exited / 0->$20m revenue) and Zipchat (AI Chatbot for E-commerce brands)Thomas Lacroix [Co-founder & CMO]• 8+ years in Customer Acquisition & E-commerce Growth• Serial-entrepreneur: Curatible (sold to Blackstone) and MTK Digital (exited / 0->$20m revenue)Maruša Fasano [CFO/Legal]• 25+ years in Finance, Strategy, M&A• Ex-CFO/M&A @Curatible (exited to Blackstone)• Ex-President of the Board @SotremoSA (exited)• Co-founder/CFO @SoftOne (exited)The OpportunityWe aren't building a wrapper; we are building a massive-scale conversational intelligence. EverAI has created a platform dedicated to personalized human connection, enabling millions of users to create and interact with highly personalized AI companions.EverAI is processing 80 million tokens per day and growing. We are looking for a Tech Lead to take the helm of our LLM team (currently 3 engineers) and own the architecture, training, and deployment of the models that power our core product.This is a role for a builder. You won't just be managing Jira tickets; you will be writing production code, defining our alignment strategy, and shipping features used by millions of users globally. We operate in the uncensored/NSFW space, which presents unique, high-complexity challenges in alignment, moderation, and steerability that you won't find in standard corporate AI.Why this role is distinctMassive Scale: You will solve latency, throughput, and context management challenges at a scale of 80M+ daily tokens.Production Focus: This is not a research sandbox. If you fine-tune a model today, it impacts millions of users tomorrow.Nuanced Engineering: Because we are "uncensored," we cannot rely on lazy, blanket safety filters. You will build sophisticated classifiers and alignment strategies to balance user freedom with strict safety guardrails.What You Will Do1. Ship Code & Lead from the FrontAct as a Player/Coach: Architect the system and mentor the team, but spend significant time hands-on in the codebase (Python/PyTorch).Own the core chat loop: Optimize context windows, memory/RAG retrieval, and inference latency to ensure a seamless, real-time experience.2. Own the Model LifecycleDrive our strategy for SFT (Supervised Fine-Tuning) and RLHF/DPO (Preference Optimization). You decide when to prompt, when to fine-tune, and when to architect a new RAG pipeline.Manage the "Data Engine": oversee the sourcing, labeling, and cleaning of diverse datasets to improve model steerability and multicultural performance.3. Architect High-Precision ModerationBuild the immune system of the platform. You will design and train custom classifiers to detect and filter non-consensual or illegal content within an explicit environment.Move beyond binary "safe/unsafe" flags to create nuanced, context-aware moderation systems.Who You AreThe Non-Negotiables:You have shipped AI at scale. You have 8+ years of engineering experience, with a significant portion dedicated to shipping ML/LLM features to millions of active users.You are deeply technical. You are proficient in Python/PyTorch and comfortable with the modern LLM stack (vLLM, HuggingFace, fine-tuning pipelines, eval frameworks).You understand the "Uncensored" challenge. You are comfortable working with NSFW content and understand the technical rigor required to moderate it effectively without breaking the user experience.Intuition for Alignment: You understand the physics of LLMs—how prompt conditioning, temperature, and sampling affect the "soul" of a chatbot.Doer Mindset: You value velocity. You can distinguish between a "perfect" academic solution and a "shippable" production solution.Owner: You don't rent code. You obsess over metrics, regressions, and the user experience long after the code has been merged.The Tech Stack & EnvironmentScale: 80M+ Daily Tokens.Team: You + 3 AI Engineers (reporting to you) + DevOps/Web collaborations.Culture: High autonomy, low bureaucracy, direct line to the CTO.Are you ready to build the engine for millions of users? Let's talk.Why EverAI?📈 Exponential Growth: From 35M+ users in 2 years, to 100M next — and 500M beyond🚀 Track Record of Category-Creating Innovation: We consistently launch world-first AI applications — setting the pace, not following it🌍 Global Impact: Top-tier user growth, real-world adoption, and cultural relevance🧠 Proven Leadership: A senior team that’s launched, scaled, and exited & IPO’d multiple scale ups — now fully focused on reshaping AI companionship👥 Elite Remote Team: 100% remote and built to win — world-class talent from Tier 1 tech companies, with a culture of ownership, velocity, and radical creativity🛡️ Ethical Core: Our AI ecosystem is governed by EverGuard, our proprietary AI moderation technology, ensuring responsible development at scaleWhat We Offer✍️ Contract Type: We prefer B2B, but we’re flexible, what matters is long-term commitment and impact 📍 Work From Anywhere: Fully remote. Choose the environment where you do your best work 🏝️ Paid Time Off: 4 weeks (20 working days) of PTO per year to recharge and reset 👨‍👩‍👧‍👦 Annual Gathering: A yearly in-person meetup to connect, brainstorm, and celebrate wins together ❤️‍🩹 Health & Wellness Support: Up to $200 per year for wellbeing expenses + unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp (also available for up to three family members) 🏢 Co-Working Space Budget: Work from a co-working space up to twice per month (35 EUR / 40 USD per visit) to stay inspired and connected 📚 Learning Budget: Dedicated funds to support your professional growth: courses, books, conferences, events, or certifications 💻 Equipment: Company laptop provided + monitor budget up to $250 for your workspace setup ⚡ AI Tools Access: Premium access to ChatGPT, Cursor, Hugging Face, and others, to power your ideas and workflows🎯 Top Tier Talent Is Our MultiplierWe’re a fully remote group of A-players from Tier 1 tech, led by an exec team who’ve launched, scaled, and exited multiple companies. We move fast, and care deeply about what we build — and who we build it with.We’re looking for exceptional talent ready to ship & distribute world-first AI products at scale, fast, and co-create with us this category-defining business.If that’s you — reach out and apply!💡 External Referral ProgramKnow someone who could be a great fit for this role? You can refer them through the EverAI External Referral Program and earn a bonus of up to $2,500 if they’re hired. Submit a referral here.

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Our Vision & Products🚀 EverAI — Building the Future of AI CompanionshipOne of the Top 15 Largest & Fastest-Growing AI Companies in the World35+ Million Users in 2 years — Help Us Reach 100M first, 500M nextAt EverAI, we’re shaping what it means to connect with AI. With 35+ million users and counting, we're not just building products — we're creating entirely new categories.Our flagship product is the world’s largest AI girlfriend/boyfriend platform, redefining relationships for millions. It is governed by our proprietary moderation system, EverGuard — an internal AI designed to ensure everything we build is safe, ethical, and human-first.And we’re only just getting started!Our TeamWe are an enthusiastic, passionate and hardworking team of 70 people. Our founding team has strong entrepreneurial experience building and scaling web products from 0 to IPO.Alexis Soulopoulos [CEO]• 10+ years in Tech Executive Leadership• Co-Founder Mad Paws Holdings (from 0 to IPO)• Forbes 30 under 30 + Deloitte TechFast50 ’22 & ‘23Michael Monin [Co-founder & CTO]• 10+ years as CTO / COO (web2/web3), 1+ year in AI/LLM• Serial-entrepreneur: MTK Digital (exited / 0->$20m revenue) and Zipchat (AI Chatbot for E-commerce brands)Thomas Lacroix [Co-founder & CMO]• 8+ years in Customer Acquisition & E-commerce Growth• Serial-entrepreneur: Curatible (sold to Blackstone) and MTK Digital (exited / 0->$20m revenue)Maruša Fasano [CFO/Legal]• 25+ years in Finance, Strategy, M&A• Ex-CFO/M&A @Curatible (exited to Blackstone)• Ex-President of the Board @SotremoSA (exited)• Co-founder/CFO @SoftOne (exited)The OpportunityWe aren't building a wrapper; we are building a massive-scale conversational intelligence. EverAI has created a platform dedicated to personalized human connection, enabling millions of users to create and interact with highly personalized AI companions.EverAI is processing 80 million tokens per day and growing. We are looking for a Tech Lead to take the helm of our LLM team (currently 3 engineers) and own the architecture, training, and deployment of the models that power our core product.This is a role for a builder. You won't just be managing Jira tickets; you will be writing production code, defining our alignment strategy, and shipping features used by millions of users globally. We operate in the uncensored/NSFW space, which presents unique, high-complexity challenges in alignment, moderation, and steerability that you won't find in standard corporate AI.Why this role is distinctMassive Scale: You will solve latency, throughput, and context management challenges at a scale of 80M+ daily tokens.Production Focus: This is not a research sandbox. If you fine-tune a model today, it impacts millions of users tomorrow.Nuanced Engineering: Because we are "uncensored," we cannot rely on lazy, blanket safety filters. You will build sophisticated classifiers and alignment strategies to balance user freedom with strict safety guardrails.What You Will Do1. Ship Code & Lead from the FrontAct as a Player/Coach: Architect the system and mentor the team, but spend significant time hands-on in the codebase (Python/PyTorch).Own the core chat loop: Optimize context windows, memory/RAG retrieval, and inference latency to ensure a seamless, real-time experience.2. Own the Model LifecycleDrive our strategy for SFT (Supervised Fine-Tuning) and RLHF/DPO (Preference Optimization). You decide when to prompt, when to fine-tune, and when to architect a new RAG pipeline.Manage the "Data Engine": oversee the sourcing, labeling, and cleaning of diverse datasets to improve model steerability and multicultural performance.3. Architect High-Precision ModerationBuild the immune system of the platform. You will design and train custom classifiers to detect and filter non-consensual or illegal content within an explicit environment.Move beyond binary "safe/unsafe" flags to create nuanced, context-aware moderation systems.Who You AreThe Non-Negotiables:You have shipped AI at scale. You have 8+ years of engineering experience, with a significant portion dedicated to shipping ML/LLM features to millions of active users.You are deeply technical. You are proficient in Python/PyTorch and comfortable with the modern LLM stack (vLLM, HuggingFace, fine-tuning pipelines, eval frameworks).You understand the "Uncensored" challenge. You are comfortable working with NSFW content and understand the technical rigor required to moderate it effectively without breaking the user experience.Intuition for Alignment: You understand the physics of LLMs—how prompt conditioning, temperature, and sampling affect the "soul" of a chatbot.Doer Mindset: You value velocity. You can distinguish between a "perfect" academic solution and a "shippable" production solution.Owner: You don't rent code. You obsess over metrics, regressions, and the user experience long after the code has been merged.The Tech Stack & EnvironmentScale: 80M+ Daily Tokens.Team: You + 3 AI Engineers (reporting to you) + DevOps/Web collaborations.Culture: High autonomy, low bureaucracy, direct line to the CTO.Are you ready to build the engine for millions of users? Let's talk.Why EverAI?📈 Exponential Growth: From 35M+ users in 2 years, to 100M next — and 500M beyond🚀 Track Record of Category-Creating Innovation: We consistently launch world-first AI applications — setting the pace, not following it🌍 Global Impact: Top-tier user growth, real-world adoption, and cultural relevance🧠 Proven Leadership: A senior team that’s launched, scaled, and exited & IPO’d multiple scale ups — now fully focused on reshaping AI companionship👥 Elite Remote Team: 100% remote and built to win — world-class talent from Tier 1 tech companies, with a culture of ownership, velocity, and radical creativity🛡️ Ethical Core: Our AI ecosystem is governed by EverGuard, our proprietary AI moderation technology, ensuring responsible development at scaleWhat We Offer✍️ Contract Type: We prefer B2B, but we’re flexible, what matters is long-term commitment and impact 📍 Work From Anywhere: Fully remote. Choose the environment where you do your best work 🏝️ Paid Time Off: 4 weeks (20 working days) of PTO per year to recharge and reset 👨‍👩‍👧‍👦 Annual Gathering: A yearly in-person meetup to connect, brainstorm, and celebrate wins together ❤️‍🩹 Health & Wellness Support: Up to $200 per year for wellbeing expenses + unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp (also available for up to three family members) 🏢 Co-Working Space Budget: Work from a co-working space up to twice per month (35 EUR / 40 USD per visit) to stay inspired and connected 📚 Learning Budget: Dedicated funds to support your professional growth: courses, books, conferences, events, or certifications 💻 Equipment: Company laptop provided + monitor budget up to $250 for your workspace setup ⚡ AI Tools Access: Premium access to ChatGPT, Cursor, Hugging Face, and others, to power your ideas and workflows🎯 Top Tier Talent Is Our MultiplierWe’re a fully remote group of A-players from Tier 1 tech, led by an exec team who’ve launched, scaled, and exited multiple companies. We move fast, and care deeply about what we build — and who we build it with.We’re looking for exceptional talent ready to ship & distribute world-first AI products at scale, fast, and co-create with us this category-defining business.If that’s you — reach out and apply!💡 External Referral ProgramKnow someone who could be a great fit for this role? You can refer them through the EverAI External Referral Program and earn a bonus of up to $2,500 if they’re hired. Submit a referral here.

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Our Vision & Products🚀 EverAI — Building the Future of AI CompanionshipOne of the Top 15 Largest & Fastest-Growing AI Companies in the World35+ Million Users in 2 years — Help Us Reach 100M first, 500M nextAt EverAI, we’re shaping what it means to connect with AI. With 35+ million users and counting, we're not just building products — we're creating entirely new categories.Our flagship product is the world’s largest AI girlfriend/boyfriend platform, redefining relationships for millions. It is governed by our proprietary moderation system, EverGuard — an internal AI designed to ensure everything we build is safe, ethical, and human-first.And we’re only just getting started!Our TeamWe are an enthusiastic, passionate and hardworking team of 70 people. Our founding team has strong entrepreneurial experience building and scaling web products from 0 to IPO.Alexis Soulopoulos [CEO]• 10+ years in Tech Executive Leadership• Co-Founder Mad Paws Holdings (from 0 to IPO)• Forbes 30 under 30 + Deloitte TechFast50 ’22 & ‘23Michael Monin [Co-founder & CTO]• 10+ years as CTO / COO (web2/web3), 1+ year in AI/LLM• Serial-entrepreneur: MTK Digital (exited / 0->$20m revenue) and Zipchat (AI Chatbot for E-commerce brands)Thomas Lacroix [Co-founder & CMO]• 8+ years in Customer Acquisition & E-commerce Growth• Serial-entrepreneur: Curatible (sold to Blackstone) and MTK Digital (exited / 0->$20m revenue)Maruša Fasano [CFO/Legal]• 25+ years in Finance, Strategy, M&A• Ex-CFO/M&A @Curatible (exited to Blackstone)• Ex-President of the Board @SotremoSA (exited)• Co-founder/CFO @SoftOne (exited)The OpportunityWe aren't building a wrapper; we are building a massive-scale conversational intelligence. EverAI has created a platform dedicated to personalized human connection, enabling millions of users to create and interact with highly personalized AI companions.EverAI is processing 80 million tokens per day and growing. We are looking for a Tech Lead to take the helm of our LLM team (currently 3 engineers) and own the architecture, training, and deployment of the models that power our core product.This is a role for a builder. You won't just be managing Jira tickets; you will be writing production code, defining our alignment strategy, and shipping features used by millions of users globally. We operate in the uncensored/NSFW space, which presents unique, high-complexity challenges in alignment, moderation, and steerability that you won't find in standard corporate AI.Why this role is distinctMassive Scale: You will solve latency, throughput, and context management challenges at a scale of 80M+ daily tokens.Production Focus: This is not a research sandbox. If you fine-tune a model today, it impacts millions of users tomorrow.Nuanced Engineering: Because we are "uncensored," we cannot rely on lazy, blanket safety filters. You will build sophisticated classifiers and alignment strategies to balance user freedom with strict safety guardrails.What You Will Do1. Ship Code & Lead from the FrontAct as a Player/Coach: Architect the system and mentor the team, but spend significant time hands-on in the codebase (Python/PyTorch).Own the core chat loop: Optimize context windows, memory/RAG retrieval, and inference latency to ensure a seamless, real-time experience.2. Own the Model LifecycleDrive our strategy for SFT (Supervised Fine-Tuning) and RLHF/DPO (Preference Optimization). You decide when to prompt, when to fine-tune, and when to architect a new RAG pipeline.Manage the "Data Engine": oversee the sourcing, labeling, and cleaning of diverse datasets to improve model steerability and multicultural performance.3. Architect High-Precision ModerationBuild the immune system of the platform. You will design and train custom classifiers to detect and filter non-consensual or illegal content within an explicit environment.Move beyond binary "safe/unsafe" flags to create nuanced, context-aware moderation systems.Who You AreThe Non-Negotiables:You have shipped AI at scale. You have 8+ years of engineering experience, with a significant portion dedicated to shipping ML/LLM features to millions of active users.You are deeply technical. You are proficient in Python/PyTorch and comfortable with the modern LLM stack (vLLM, HuggingFace, fine-tuning pipelines, eval frameworks).You understand the "Uncensored" challenge. You are comfortable working with NSFW content and understand the technical rigor required to moderate it effectively without breaking the user experience.Intuition for Alignment: You understand the physics of LLMs—how prompt conditioning, temperature, and sampling affect the "soul" of a chatbot.Doer Mindset: You value velocity. You can distinguish between a "perfect" academic solution and a "shippable" production solution.Owner: You don't rent code. You obsess over metrics, regressions, and the user experience long after the code has been merged.The Tech Stack & EnvironmentScale: 80M+ Daily Tokens.Team: You + 3 AI Engineers (reporting to you) + DevOps/Web collaborations.Culture: High autonomy, low bureaucracy, direct line to the CTO.Are you ready to build the engine for millions of users? Let's talk.Why EverAI?📈 Exponential Growth: From 35M+ users in 2 years, to 100M next — and 500M beyond🚀 Track Record of Category-Creating Innovation: We consistently launch world-first AI applications — setting the pace, not following it🌍 Global Impact: Top-tier user growth, real-world adoption, and cultural relevance🧠 Proven Leadership: A senior team that’s launched, scaled, and exited & IPO’d multiple scale ups — now fully focused on reshaping AI companionship👥 Elite Remote Team: 100% remote and built to win — world-class talent from Tier 1 tech companies, with a culture of ownership, velocity, and radical creativity🛡️ Ethical Core: Our AI ecosystem is governed by EverGuard, our proprietary AI moderation technology, ensuring responsible development at scaleWhat We Offer✍️ Contract Type: We prefer B2B, but we’re flexible, what matters is long-term commitment and impact 📍 Work From Anywhere: Fully remote. Choose the environment where you do your best work 🏝️ Paid Time Off: 4 weeks (20 working days) of PTO per year to recharge and reset 👨‍👩‍👧‍👦 Annual Gathering: A yearly in-person meetup to connect, brainstorm, and celebrate wins together ❤️‍🩹 Health & Wellness Support: Up to $200 per year for wellbeing expenses + unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp (also available for up to three family members) 🏢 Co-Working Space Budget: Work from a co-working space up to twice per month (35 EUR / 40 USD per visit) to stay inspired and connected 📚 Learning Budget: Dedicated funds to support your professional growth: courses, books, conferences, events, or certifications 💻 Equipment: Company laptop provided + monitor budget up to $250 for your workspace setup ⚡ AI Tools Access: Premium access to ChatGPT, Cursor, Hugging Face, and others, to power your ideas and workflows🎯 Top Tier Talent Is Our MultiplierWe’re a fully remote group of A-players from Tier 1 tech, led by an exec team who’ve launched, scaled, and exited multiple companies. We move fast, and care deeply about what we build — and who we build it with.We’re looking for exceptional talent ready to ship & distribute world-first AI products at scale, fast, and co-create with us this category-defining business.If that’s you — reach out and apply!💡 External Referral ProgramKnow someone who could be a great fit for this role? You can refer them through the EverAI External Referral Program and earn a bonus of up to $2,500 if they’re hired. Submit a referral here.

false

Our Vision & Products🚀 EverAI — Building the Future of AI CompanionshipOne of the Top 15 Largest & Fastest-Growing AI Companies in the World35+ Million Users in 2 years — Help Us Reach 100M first, 500M nextAt EverAI, we’re shaping what it means to connect with AI. With 35+ million users and counting, we're not just building products — we're creating entirely new categories.Our flagship product is the world’s largest AI girlfriend/boyfriend platform, redefining relationships for millions. It is governed by our proprietary moderation system, EverGuard — an internal AI designed to ensure everything we build is safe, ethical, and human-first.And we’re only just getting started!Our TeamWe are an enthusiastic, passionate and hardworking team of 70 people. Our founding team has strong entrepreneurial experience building and scaling web products from 0 to IPO.Alexis Soulopoulos [CEO]• 10+ years in Tech Executive Leadership• Co-Founder Mad Paws Holdings (from 0 to IPO)• Forbes 30 under 30 + Deloitte TechFast50 ’22 & ‘23Michael Monin [Co-founder & CTO]• 10+ years as CTO / COO (web2/web3), 1+ year in AI/LLM• Serial-entrepreneur: MTK Digital (exited / 0->$20m revenue) and Zipchat (AI Chatbot for E-commerce brands)Thomas Lacroix [Co-founder & CMO]• 8+ years in Customer Acquisition & E-commerce Growth• Serial-entrepreneur: Curatible (sold to Blackstone) and MTK Digital (exited / 0->$20m revenue)Maruša Fasano [CFO/Legal]• 25+ years in Finance, Strategy, M&A• Ex-CFO/M&A @Curatible (exited to Blackstone)• Ex-President of the Board @SotremoSA (exited)• Co-founder/CFO @SoftOne (exited)The OpportunityWe aren't building a wrapper; we are building a massive-scale conversational intelligence. EverAI has created a platform dedicated to personalized human connection, enabling millions of users to create and interact with highly personalized AI companions.EverAI is processing 80 million tokens per day and growing. We are looking for a Tech Lead to take the helm of our LLM team (currently 3 engineers) and own the architecture, training, and deployment of the models that power our core product.This is a role for a builder. You won't just be managing Jira tickets; you will be writing production code, defining our alignment strategy, and shipping features used by millions of users globally. We operate in the uncensored/NSFW space, which presents unique, high-complexity challenges in alignment, moderation, and steerability that you won't find in standard corporate AI.Why this role is distinctMassive Scale: You will solve latency, throughput, and context management challenges at a scale of 80M+ daily tokens.Production Focus: This is not a research sandbox. If you fine-tune a model today, it impacts millions of users tomorrow.Nuanced Engineering: Because we are "uncensored," we cannot rely on lazy, blanket safety filters. You will build sophisticated classifiers and alignment strategies to balance user freedom with strict safety guardrails.What You Will Do1. Ship Code & Lead from the FrontAct as a Player/Coach: Architect the system and mentor the team, but spend significant time hands-on in the codebase (Python/PyTorch).Own the core chat loop: Optimize context windows, memory/RAG retrieval, and inference latency to ensure a seamless, real-time experience.2. Own the Model LifecycleDrive our strategy for SFT (Supervised Fine-Tuning) and RLHF/DPO (Preference Optimization). You decide when to prompt, when to fine-tune, and when to architect a new RAG pipeline.Manage the "Data Engine": oversee the sourcing, labeling, and cleaning of diverse datasets to improve model steerability and multicultural performance.3. Architect High-Precision ModerationBuild the immune system of the platform. You will design and train custom classifiers to detect and filter non-consensual or illegal content within an explicit environment.Move beyond binary "safe/unsafe" flags to create nuanced, context-aware moderation systems.Who You AreThe Non-Negotiables:You have shipped AI at scale. You have 8+ years of engineering experience, with a significant portion dedicated to shipping ML/LLM features to millions of active users.You are deeply technical. You are proficient in Python/PyTorch and comfortable with the modern LLM stack (vLLM, HuggingFace, fine-tuning pipelines, eval frameworks).You understand the "Uncensored" challenge. You are comfortable working with NSFW content and understand the technical rigor required to moderate it effectively without breaking the user experience.Intuition for Alignment: You understand the physics of LLMs—how prompt conditioning, temperature, and sampling affect the "soul" of a chatbot.Doer Mindset: You value velocity. You can distinguish between a "perfect" academic solution and a "shippable" production solution.Owner: You don't rent code. You obsess over metrics, regressions, and the user experience long after the code has been merged.The Tech Stack & EnvironmentScale: 80M+ Daily Tokens.Team: You + 3 AI Engineers (reporting to you) + DevOps/Web collaborations.Culture: High autonomy, low bureaucracy, direct line to the CTO.Are you ready to build the engine for millions of users? Let's talk.Why EverAI?📈 Exponential Growth: From 35M+ users in 2 years, to 100M next — and 500M beyond🚀 Track Record of Category-Creating Innovation: We consistently launch world-first AI applications — setting the pace, not following it🌍 Global Impact: Top-tier user growth, real-world adoption, and cultural relevance🧠 Proven Leadership: A senior team that’s launched, scaled, and exited & IPO’d multiple scale ups — now fully focused on reshaping AI companionship👥 Elite Remote Team: 100% remote and built to win — world-class talent from Tier 1 tech companies, with a culture of ownership, velocity, and radical creativity🛡️ Ethical Core: Our AI ecosystem is governed by EverGuard, our proprietary AI moderation technology, ensuring responsible development at scaleWhat We Offer✍️ Contract Type: We prefer B2B, but we’re flexible, what matters is long-term commitment and impact 📍 Work From Anywhere: Fully remote. Choose the environment where you do your best work 🏝️ Paid Time Off: 4 weeks (20 working days) of PTO per year to recharge and reset 👨‍👩‍👧‍👦 Annual Gathering: A yearly in-person meetup to connect, brainstorm, and celebrate wins together ❤️‍🩹 Health & Wellness Support: Up to $200 per year for wellbeing expenses + unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp (also available for up to three family members) 🏢 Co-Working Space Budget: Work from a co-working space up to twice per month (35 EUR / 40 USD per visit) to stay inspired and connected 📚 Learning Budget: Dedicated funds to support your professional growth: courses, books, conferences, events, or certifications 💻 Equipment: Company laptop provided + monitor budget up to $250 for your workspace setup ⚡ AI Tools Access: Premium access to ChatGPT, Cursor, Hugging Face, and others, to power your ideas and workflows🎯 Top Tier Talent Is Our MultiplierWe’re a fully remote group of A-players from Tier 1 tech, led by an exec team who’ve launched, scaled, and exited multiple companies. We move fast, and care deeply about what we build — and who we build it with.We’re looking for exceptional talent ready to ship & distribute world-first AI products at scale, fast, and co-create with us this category-defining business.If that’s you — reach out and apply!💡 External Referral ProgramKnow someone who could be a great fit for this role? You can refer them through the EverAI External Referral Program and earn a bonus of up to $2,500 if they’re hired. Submit a referral here.

false

Our Vision & Products🚀 EverAI — Building the Future of AI CompanionshipOne of the Top 15 Largest & Fastest-Growing AI Companies in the World35+ Million Users in 2 years — Help Us Reach 100M first, 500M nextAt EverAI, we’re shaping what it means to connect with AI. With 35+ million users and counting, we're not just building products — we're creating entirely new categories.Our flagship product is the world’s largest AI girlfriend/boyfriend platform, redefining relationships for millions. It is governed by our proprietary moderation system, EverGuard — an internal AI designed to ensure everything we build is safe, ethical, and human-first.And we’re only just getting started!Our TeamWe are an enthusiastic, passionate and hardworking team of 70 people. Our founding team has strong entrepreneurial experience building and scaling web products from 0 to IPO.Alexis Soulopoulos [CEO]• 10+ years in Tech Executive Leadership• Co-Founder Mad Paws Holdings (from 0 to IPO)• Forbes 30 under 30 + Deloitte TechFast50 ’22 & ‘23Michael Monin [Co-founder & CTO]• 10+ years as CTO / COO (web2/web3), 1+ year in AI/LLM• Serial-entrepreneur: MTK Digital (exited / 0->$20m revenue) and Zipchat (AI Chatbot for E-commerce brands)Thomas Lacroix [Co-founder & CMO]• 8+ years in Customer Acquisition & E-commerce Growth• Serial-entrepreneur: Curatible (sold to Blackstone) and MTK Digital (exited / 0->$20m revenue)Maruša Fasano [CFO/Legal]• 25+ years in Finance, Strategy, M&A• Ex-CFO/M&A @Curatible (exited to Blackstone)• Ex-President of the Board @SotremoSA (exited)• Co-founder/CFO @SoftOne (exited)The OpportunityWe aren't building a wrapper; we are building a massive-scale conversational intelligence. EverAI has created a platform dedicated to personalized human connection, enabling millions of users to create and interact with highly personalized AI companions.EverAI is processing 80 million tokens per day and growing. We are looking for a Tech Lead to take the helm of our LLM team (currently 3 engineers) and own the architecture, training, and deployment of the models that power our core product.This is a role for a builder. You won't just be managing Jira tickets; you will be writing production code, defining our alignment strategy, and shipping features used by millions of users globally. We operate in the uncensored/NSFW space, which presents unique, high-complexity challenges in alignment, moderation, and steerability that you won't find in standard corporate AI.Why this role is distinctMassive Scale: You will solve latency, throughput, and context management challenges at a scale of 80M+ daily tokens.Production Focus: This is not a research sandbox. If you fine-tune a model today, it impacts millions of users tomorrow.Nuanced Engineering: Because we are "uncensored," we cannot rely on lazy, blanket safety filters. You will build sophisticated classifiers and alignment strategies to balance user freedom with strict safety guardrails.What You Will Do1. Ship Code & Lead from the FrontAct as a Player/Coach: Architect the system and mentor the team, but spend significant time hands-on in the codebase (Python/PyTorch).Own the core chat loop: Optimize context windows, memory/RAG retrieval, and inference latency to ensure a seamless, real-time experience.2. Own the Model LifecycleDrive our strategy for SFT (Supervised Fine-Tuning) and RLHF/DPO (Preference Optimization). You decide when to prompt, when to fine-tune, and when to architect a new RAG pipeline.Manage the "Data Engine": oversee the sourcing, labeling, and cleaning of diverse datasets to improve model steerability and multicultural performance.3. Architect High-Precision ModerationBuild the immune system of the platform. You will design and train custom classifiers to detect and filter non-consensual or illegal content within an explicit environment.Move beyond binary "safe/unsafe" flags to create nuanced, context-aware moderation systems.Who You AreThe Non-Negotiables:You have shipped AI at scale. You have 8+ years of engineering experience, with a significant portion dedicated to shipping ML/LLM features to millions of active users.You are deeply technical. You are proficient in Python/PyTorch and comfortable with the modern LLM stack (vLLM, HuggingFace, fine-tuning pipelines, eval frameworks).You understand the "Uncensored" challenge. You are comfortable working with NSFW content and understand the technical rigor required to moderate it effectively without breaking the user experience.Intuition for Alignment: You understand the physics of LLMs—how prompt conditioning, temperature, and sampling affect the "soul" of a chatbot.Doer Mindset: You value velocity. You can distinguish between a "perfect" academic solution and a "shippable" production solution.Owner: You don't rent code. You obsess over metrics, regressions, and the user experience long after the code has been merged.The Tech Stack & EnvironmentScale: 80M+ Daily Tokens.Team: You + 3 AI Engineers (reporting to you) + DevOps/Web collaborations.Culture: High autonomy, low bureaucracy, direct line to the CTO.Are you ready to build the engine for millions of users? Let's talk.Why EverAI?📈 Exponential Growth: From 35M+ users in 2 years, to 100M next — and 500M beyond🚀 Track Record of Category-Creating Innovation: We consistently launch world-first AI applications — setting the pace, not following it🌍 Global Impact: Top-tier user growth, real-world adoption, and cultural relevance🧠 Proven Leadership: A senior team that’s launched, scaled, and exited & IPO’d multiple scale ups — now fully focused on reshaping AI companionship👥 Elite Remote Team: 100% remote and built to win — world-class talent from Tier 1 tech companies, with a culture of ownership, velocity, and radical creativity🛡️ Ethical Core: Our AI ecosystem is governed by EverGuard, our proprietary AI moderation technology, ensuring responsible development at scaleWhat We Offer✍️ Contract Type: We prefer B2B, but we’re flexible, what matters is long-term commitment and impact 📍 Work From Anywhere: Fully remote. Choose the environment where you do your best work 🏝️ Paid Time Off: 4 weeks (20 working days) of PTO per year to recharge and reset 👨‍👩‍👧‍👦 Annual Gathering: A yearly in-person meetup to connect, brainstorm, and celebrate wins together ❤️‍🩹 Health & Wellness Support: Up to $200 per year for wellbeing expenses + unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp (also available for up to three family members) 🏢 Co-Working Space Budget: Work from a co-working space up to twice per month (35 EUR / 40 USD per visit) to stay inspired and connected 📚 Learning Budget: Dedicated funds to support your professional growth: courses, books, conferences, events, or certifications 💻 Equipment: Company laptop provided + monitor budget up to $250 for your workspace setup ⚡ AI Tools Access: Premium access to ChatGPT, Cursor, Hugging Face, and others, to power your ideas and workflows🎯 Top Tier Talent Is Our MultiplierWe’re a fully remote group of A-players from Tier 1 tech, led by an exec team who’ve launched, scaled, and exited multiple companies. We move fast, and care deeply about what we build — and who we build it with.We’re looking for exceptional talent ready to ship & distribute world-first AI products at scale, fast, and co-create with us this category-defining business.If that’s you — reach out and apply!💡 External Referral ProgramKnow someone who could be a great fit for this role? You can refer them through the EverAI External Referral Program and earn a bonus of up to $2,500 if they’re hired. Submit a referral here.

false

Our Vision & Products🚀 EverAI — Building the Future of AI CompanionshipOne of the Top 15 Largest & Fastest-Growing AI Companies in the World35+ Million Users in 2 years — Help Us Reach 100M first, 500M nextAt EverAI, we’re shaping what it means to connect with AI. With 35+ million users and counting, we're not just building products — we're creating entirely new categories.Our flagship product is the world’s largest AI girlfriend/boyfriend platform, redefining relationships for millions. It is governed by our proprietary moderation system, EverGuard — an internal AI designed to ensure everything we build is safe, ethical, and human-first.And we’re only just getting started!Our TeamWe are an enthusiastic, passionate and hardworking team of 70 people. Our founding team has strong entrepreneurial experience building and scaling web products from 0 to IPO.Alexis Soulopoulos [CEO]• 10+ years in Tech Executive Leadership• Co-Founder Mad Paws Holdings (from 0 to IPO)• Forbes 30 under 30 + Deloitte TechFast50 ’22 & ‘23Michael Monin [Co-founder & CTO]• 10+ years as CTO / COO (web2/web3), 1+ year in AI/LLM• Serial-entrepreneur: MTK Digital (exited / 0->$20m revenue) and Zipchat (AI Chatbot for E-commerce brands)Thomas Lacroix [Co-founder & CMO]• 8+ years in Customer Acquisition & E-commerce Growth• Serial-entrepreneur: Curatible (sold to Blackstone) and MTK Digital (exited / 0->$20m revenue)Maruša Fasano [CFO/Legal]• 25+ years in Finance, Strategy, M&A• Ex-CFO/M&A @Curatible (exited to Blackstone)• Ex-President of the Board @SotremoSA (exited)• Co-founder/CFO @SoftOne (exited)The OpportunityWe aren't building a wrapper; we are building a massive-scale conversational intelligence. EverAI has created a platform dedicated to personalized human connection, enabling millions of users to create and interact with highly personalized AI companions.EverAI is processing 80 million tokens per day and growing. We are looking for a Tech Lead to take the helm of our LLM team (currently 3 engineers) and own the architecture, training, and deployment of the models that power our core product.This is a role for a builder. You won't just be managing Jira tickets; you will be writing production code, defining our alignment strategy, and shipping features used by millions of users globally. We operate in the uncensored/NSFW space, which presents unique, high-complexity challenges in alignment, moderation, and steerability that you won't find in standard corporate AI.Why this role is distinctMassive Scale: You will solve latency, throughput, and context management challenges at a scale of 80M+ daily tokens.Production Focus: This is not a research sandbox. If you fine-tune a model today, it impacts millions of users tomorrow.Nuanced Engineering: Because we are "uncensored," we cannot rely on lazy, blanket safety filters. You will build sophisticated classifiers and alignment strategies to balance user freedom with strict safety guardrails.What You Will Do1. Ship Code & Lead from the FrontAct as a Player/Coach: Architect the system and mentor the team, but spend significant time hands-on in the codebase (Python/PyTorch).Own the core chat loop: Optimize context windows, memory/RAG retrieval, and inference latency to ensure a seamless, real-time experience.2. Own the Model LifecycleDrive our strategy for SFT (Supervised Fine-Tuning) and RLHF/DPO (Preference Optimization). You decide when to prompt, when to fine-tune, and when to architect a new RAG pipeline.Manage the "Data Engine": oversee the sourcing, labeling, and cleaning of diverse datasets to improve model steerability and multicultural performance.3. Architect High-Precision ModerationBuild the immune system of the platform. You will design and train custom classifiers to detect and filter non-consensual or illegal content within an explicit environment.Move beyond binary "safe/unsafe" flags to create nuanced, context-aware moderation systems.Who You AreThe Non-Negotiables:You have shipped AI at scale. You have 8+ years of engineering experience, with a significant portion dedicated to shipping ML/LLM features to millions of active users.You are deeply technical. You are proficient in Python/PyTorch and comfortable with the modern LLM stack (vLLM, HuggingFace, fine-tuning pipelines, eval frameworks).You understand the "Uncensored" challenge. You are comfortable working with NSFW content and understand the technical rigor required to moderate it effectively without breaking the user experience.Intuition for Alignment: You understand the physics of LLMs—how prompt conditioning, temperature, and sampling affect the "soul" of a chatbot.Doer Mindset: You value velocity. You can distinguish between a "perfect" academic solution and a "shippable" production solution.Owner: You don't rent code. You obsess over metrics, regressions, and the user experience long after the code has been merged.The Tech Stack & EnvironmentScale: 80M+ Daily Tokens.Team: You + 3 AI Engineers (reporting to you) + DevOps/Web collaborations.Culture: High autonomy, low bureaucracy, direct line to the CTO.Are you ready to build the engine for millions of users? Let's talk.Why EverAI?📈 Exponential Growth: From 35M+ users in 2 years, to 100M next — and 500M beyond🚀 Track Record of Category-Creating Innovation: We consistently launch world-first AI applications — setting the pace, not following it🌍 Global Impact: Top-tier user growth, real-world adoption, and cultural relevance🧠 Proven Leadership: A senior team that’s launched, scaled, and exited & IPO’d multiple scale ups — now fully focused on reshaping AI companionship👥 Elite Remote Team: 100% remote and built to win — world-class talent from Tier 1 tech companies, with a culture of ownership, velocity, and radical creativity🛡️ Ethical Core: Our AI ecosystem is governed by EverGuard, our proprietary AI moderation technology, ensuring responsible development at scaleWhat We Offer✍️ Contract Type: We prefer B2B, but we’re flexible, what matters is long-term commitment and impact 📍 Work From Anywhere: Fully remote. Choose the environment where you do your best work 🏝️ Paid Time Off: 4 weeks (20 working days) of PTO per year to recharge and reset 👨‍👩‍👧‍👦 Annual Gathering: A yearly in-person meetup to connect, brainstorm, and celebrate wins together ❤️‍🩹 Health & Wellness Support: Up to $200 per year for wellbeing expenses + unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp (also available for up to three family members) 🏢 Co-Working Space Budget: Work from a co-working space up to twice per month (35 EUR / 40 USD per visit) to stay inspired and connected 📚 Learning Budget: Dedicated funds to support your professional growth: courses, books, conferences, events, or certifications 💻 Equipment: Company laptop provided + monitor budget up to $250 for your workspace setup ⚡ AI Tools Access: Premium access to ChatGPT, Cursor, Hugging Face, and others, to power your ideas and workflows🎯 Top Tier Talent Is Our MultiplierWe’re a fully remote group of A-players from Tier 1 tech, led by an exec team who’ve launched, scaled, and exited multiple companies. We move fast, and care deeply about what we build — and who we build it with.We’re looking for exceptional talent ready to ship & distribute world-first AI products at scale, fast, and co-create with us this category-defining business.If that’s you — reach out and apply!💡 External Referral ProgramKnow someone who could be a great fit for this role? You can refer them through the EverAI External Referral Program and earn a bonus of up to $2,500 if they’re hired. Submit a referral here.