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Job Description
- Design and build self-sustaining systems where AI agents reason, plan, and execute complex workflows to solve real-world engineering problems.
- Blend traditional software development with advanced prompt engineering, Retrieval-Augmented Generation (RAG), and optimization to build highly capable AI applications.
- Move beyond standard testing by creating evaluation pipelines to measure AI performance, mitigate, and ensure secure-by-default agent behavior.
- Troubleshoot non-deterministic AI behaviors. Investigate model introspection, refine system prompts, and optimize context to keep our self-sustaining systems on track.
- Accelerate productivity using AI coding assistants, and collaborate with global teams to discover groundbreaking new ways LLMs can eliminate developer toil.