Research Engineer
This role focuses on building and refining AI-driven agentic systems to enhance developer productivity, blending research insights with practical engineering to create scalable, reliable solutions. You’ll collaborate closely with product and engineering teams to prototype, iterate, and deploy cutting-edge AI capabilities tailored for enterprise software workflows.
Skills required
About this role
About the Role
Factory is seeking innovative Research Engineers to design and integrate advanced AI and ML capabilities that revolutionize productivity and accelerate innovation within software organizations.
What you will do and achieve
Design, develop, and deploy AI-driven agentic systems that enhance Factory’s core AI capabilities, focusing on retrieval systems, code generation evaluation, agentic user experience development, and agent backend architecture.
Collaborate with product and engineering teams to incorporate 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 our platform reliably support large-scale operational demands
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)
