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. What you will do and achieve: 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
Qualifications 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)
Factory functions within Integrated Development Environments, Command Line Interfaces, and Continuous Integration pipelines. The technology allows for the delegation of technical tasks, including code refactors, system migrations, and incident responses. These digital agents also perform automated code reviews and facilitate the maintenance of builds during the development process. Integration extends to communication platforms and project management software, allowing users to trigger actions from various interfaces. The system supports the parallelization of agents to manage software updates and maintenance across multiple operating systems.
Location
San Francisco, CA
Total raised
$220M
Last stage
Series C
Investors
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.