Research Engineer
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.
About the job
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.
Skills
LLMs, AI, Machine Learning, Retrieval Systems, Code Generation, Agentic Systems, Python, PyTorch, TensorFlow
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