Your tasks: You design and build production-grade agentic systems end to end: multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management and lifecycle observability. You build and own RAG pipelines covering embeddings, chunking strategy, vector search and context window engineering against real quality targets. You integrate and abstract across multiple LLM providers with fallback routing and token, cost and latency management. You implement LLMOps in production: eval harnesses with real quality metrics, prompt versioning, observability tooling, cost and safety monitoring. You embed directly with client engineering teams for workshops, proofs of concept, code-with sessions and architecture walkthroughs. You build reusable patterns, accelerators and playbooks that scale beyond a single engagement. You define and use metrics for agent accuracy, latency, safety and cost-effectiveness and present findings in business terms.
