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Job Description
- Architect agentic ecosystems by leading the design and implementation of highly scalable, fault-tolerant systems where multi-agent networks reason, plan, and execute complex workflows across vast, distributed codebases.
- Pioneer AI-first engineering by defining best practices for the team and broader organization. Blend traditional distributed systems architecture with advanced Large Language Model (LLM) orchestration, complex Retrieval Augmented Generation (RAG) pipelines, and optimization.
- Scale evaluations and guardrails by establishing a comprehensive technical strategy for AI safety, architecting, automated frameworks that measure performance and enforce security to mitigate across large-scale deployments.
- Solve the hardest AI problems through managing the most intricate non-deterministic edge cases. Build advanced telemetry and introspection tooling that allows the entire organization to understand, debug, and optimize self-supporting behavior.