Designs and deploys AI-driven agentic systems for retrieval, code generation evaluation, and agent backend architecture. Requires 2+ years AI/ML experience with LLMs, Bachelor's or Master's in CS/AI, and ability to prototype innovative solutions onsite in San Francisco.
Salary not listed
On-site2+ YOEML Engineering
About the role
Responsibilities
Design, develop, and deploy AI-driven agentic systems 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.
Identify and address product stability and scalability challenges to support large-scale operational demands.
Qualifications
2+ years of hands-on experience in AI/ML engineering roles post-Bachelor's or Master's degree in Computer Science, Engineering, AI, or related field.
Proficiency with LLMs and track record of applying AI/ML techniques to complex, unstructured problems, ideally in software engineering.
Self-motivated, autonomous, able to navigate ambiguous research projects from conception to deployment.
Strong communication skills to articulate technical concepts clearly.
Experience with data-intensive applications and software development lifecycle highly desirable.
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