Top AI AI Engineer Jobs Openings in 2025

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ABOUT VIBECODEVibe Code is a high-growth U.S. startup reimagining how everyday people create and communicate — not through videos or images, but through custom software. We believe personalized apps are the next major creative medium, allowing people to share a new type of experience. To fully highlight this, we're building a mobile-first platform where anyone can describe an idea and instantly turn it into a working product/experience.We're not just targeting developers — we're empowering non-technical creators, entrepreneurs, and dreamers to build software the same way they might create a TikTok or design a Canva post.We’ve raised close to $10M in venture funding as a seed stage company, putting is in the Top 0.1% of startup backed by some of the most iconic names in tech:💥 776 (Alexis Ohanian)🚀 Long Journey (Cyan Banister, Arille Zuckerberg)🔮 Neo (Ali Partovi, Suzanne Xie)Logan Kilpatrick, Head @ Google DeepmindAnd many other amazing angels, founders, and investors...What we offer:💸 $150K–$400K USD base salary, depending on experience📈 Equity in a breakout company redefining software creation🌎 Full H1B/O1 visa sponsorship and relocation support👉 Note: This is an in-person role based in San Francisco. We believe the best products are built shoulder-to-shoulder and at high speed. ABOUT THE ROLE Want to be at the forefront of making easy-to-use consumer AI agents? This is the perfect role for you.You'll be testing, iterating, deploying, designing, and architecting our AI coding agent. This could involve writing evals, designing tools, modifying agentic architecture, fine-tuning models, developing models, etc.

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About Scale At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the development of autonomous AI agents in frontier labs through agentic data and evaluations, paving the road to Artificial General Intelligence (AGI). About the Autonomous Agents Team The Autonomous Agents Team (A2) is a small team of customer-facing ML practitioners within Scale’s Research organization dedicated to rapidly developing innovative agentic applications, tools, and data pipelines. Specializing in autonomous agents, the A2 team bridges deep generative AI and ML expertise with practical AI application development to create foundational agentic frameworks and tooling that supports our agent data programs, evaluations, and more. Our focus is on fully autonomous agents that dynamically complete tasks by interacting with external environments, such as code repositories, browsers, computer interfaces, and the real world using custom tools and actions. About the Role  As an Applied AI Engineer on the Autonomous Agents team, you will be pivotal in bridging the gap between the rapidly evolving space of agent applications and frameworks, agentic LLM capabilities, and the data required to advance them. You will: Design agent data programs that improve model performance through supervised fine-tuning (SFT) and reinforcement learning (RL) Build new agent data types and pipelines that enable agentic data collection using multiple environments, like code repos, browsers, and computers Meet regularly with customers to understand their modeling requirements and product objectives Develop agentic frameworks, tools, and verifiers to evaluate model capabilities for frontier general agent tasks Implement popular open source agent libraries and benchmarks on proprietary datasets and models Build agent applications that enable and automate key aspects of our data pipelines and evaluations   Ideally you’d have: A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to build solutions Strong AI & engineering background: Master's degree/or equivalent experience in Computer Science, Machine Learning, AI, or a related field Strong background in deep learning, LLM, and data-centric AI methodologies 2-3 years of practical experience building AI applications for real-world use cases. Previous experience in a customer facing role Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas) Nice to haves: Experience building AI applications on the modern GenAI stack, using commercial or open-source LLMs and common SDKs like the OpenAI API Experience building agents that use tools, generate structured output, and interact with environments Familiarity with agent data and benchmarks, such as SWE-Bench for SWE agents, and OS-World for Computer-use agents. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.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 locations of San Francisco, New York, Seattle is:$195,000—$240,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Yutori is reimagining how people interact with the web by building AI agents that can reliably do everyday digital tasks. We are building the entire stack to be agent-first, from training our own models to generative product interfaces.Towards this goal, we are looking for a member of the AI technical staff to join the founding team. Someone technically strongly, and excited about building superhuman AI agents that take actions on the web.Our founders — Devi Parikh, Abhishek Das, Dhruv Batra — have decades of experience in AI research and product spanning generative, multimodal and embodied AI at Meta. Our team combines AI experience with design-minded product thinking to build and deliver on Yutori’s mission.Yutori is backed by a stellar set of visionary investors — Elad Gil, Sarah Guo, Jeff Dean, Fei-Fei Li, Amjad Masad, Guillermo Rauch, Akshay Kothari, Soleio, Oliver Cameron, Julien Chaumond, Logan Kilpatrick, Bryan McCann, Vladlen Koltun, Jamie Cuffe, Michele Catasta, etc.Responsibilities:Build a superhuman generalist web-agentScale infra, data, algorithms for large-scale distributed async reinforcement learning with multimodal LLMs acting in web environmentsWork closely with product engineers to translate cutting-edge AI capabilities into elegant and reliable product experiences.What we’re looking for:Experience with large-scale RL, ideally for post-training multimodal LLMsExperience building distributed systems for RL (balancing trainer, environment, actor workloads)Experience with ML infrastructure (GPU clusters) and supporting networking (NCCL)High IQ, high EQ, high agency, high craftsmanship, low ego. Proactive, clear communication.Benefits and perks:Competitive salary and equityVisa sponsorship and relocation stipend to bring you to SFGenerous health, dental, vision insurance for you and your dependents20 days of paid time off per yearWork laptop and budget to set up your work officeDaily team lunchesCommuter benefitsSmall, focused team of high-potential individuals. In-person in SF.

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