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NEXTMOVEFDE careers · United States

Research Engineer

AI summary of the role

Design and deploy AI-driven agentic systems for software productivity, focusing on retrieval, code generation evaluation, and agent backend architecture.

What you’ll do

  • Design, develop, and deploy AI-driven agentic systems enhancing core AI capabilities (retrieval, code generation evaluation, agentic UX, agent backend)
  • Collaborate with product and engineering teams to incorporate emerging AI research into practical, customer-centric solutions
  • Engage in iterative development, rapidly prototyping and refining AI functionalities based on real-world feedback
  • Identify and address product stability and scalability challenges to support large-scale operational demands

What you’ll bring

  • 2+ years hands-on AI/ML engineering experience post-Bachelor's or Master's in CS, Engineering, AI, or related field
  • Demonstrated proficiency with LLMs and applying AI/ML to complex, unstructured problems
  • Self-motivated with ability to navigate ambiguous research projects from conception to deployment
  • Strong communication skills to articulate technical concepts at all levels

Technologies

LLMs · retrieval systems · code generation evaluation · agentic systems · AI/ML · agent backend architecture

Source and classification

Internal deployment & tooling · Evidence for this classification:

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
More from the job description

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. The team goes into the office 5 days a week in San Francisco (walking distance to Caltrain).

How jobs are selected

Employer postings · Data from · Sources