Software Engineer, AI
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LOCATION
San Francisco, CA
TYPE
Full time
TAGS
Engineering
Apply now
LOCATION
San Francisco, CA
TYPE
Full time
TAGS
Engineering
Our mission is to bring autonomy to software engineering.
We build software development agents that accelerate the world's largest enterprise engineering teams. We're helping customers including Nvidia, Adobe, Adyen, Klarna, and Ernst & Young turn their engineering organizations into autonomous development systems — shipping code, reviewing PRs, running tests, and deploying continuously.
In 2026, we raised a $150M Series C. We are backed by world-class investors and operators including Khosla Ventures, Sequoia, Blackstone, Ali Ghodsi (CEO of Databricks), and Frank Slootman (Former CEO of Snowflake).
Factory is looking for innovative AI Engineers to build and evolve cutting-edge AI systems that transform how software organizations accelerate their productivity and innovation.
Innovate at the forefront of AI by designing, developing, and deploying AI-driven agentic systems that enhance Factory's core AI capabilities
Work with product and engineering teams to integrate emerging AI research findings into practical, customer-centric solutions
Engage in iterative development processes, rapidly prototyping and refining AI functionalities based on real-world feedback to meet the evolving needs of developers and enterprises
Take the initiative in identifying and addressing product stability and scalability challenges, ensuring the Factory Platform reliably supports large-scale operational demands
Lead the exploration and integration of large-scale data processing techniques to improve the reliability and effectiveness of our AI systems
2+ years of hands-on experience in AI/ML engineering roles post-acquisition of a Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related technical field.
Demonstrated proficiency with LLMs and a track record of applying AI/ML techniques to solve complex, unstructured problems, ideally within the domain of software engineering or related areas.
Self-motivated and autonomous, with a proven ability to navigate ambiguous research projects from conception to impactful deployment.
Strong communication skills that enable you to articulate technical concepts and strategies clearly at all levels, coupled with a strategic mindset oriented towards innovation.
Experience with data-intensive applications and familiarity with the software development lifecycle are highly desirable, though not mandatory.
This is an in-office position (5 days/week) in San Francisco (walking distance to Caltrain)
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