Staff Engineer – Agentic AI at Republic Services
Core
Building and scaling production Agentic AI platforms, including agent orchestration, enterprise context retrieval, and LLMOps for a large environmental services company.
Role type
Staff Engineer (Agentic AI)
Builds
Production-grade agentic AI systems, agent orchestration layers, and LLMOps infrastructure for enterprise operations.
Domain
Environmental services, Generative AI, Agentic AI
Deliverable
production ML models
Required skills
Agent orchestration, tool calling, planner/executor patterns, multi-agent systems, retrieval-augmented generation (RAG), hybrid search, vector stores, LLMOps, evaluation frameworks, prompt/agent versioning, cloud infrastructure (AWS/Bedrock), containerization, serverless architectures, technical leadership, mentoring
Preferred skills
LangGraph, Semantic Kernel, PydanticAI, GraphRAG, knowledge graphs, LangFuse, LangSmith, multimodal AI
Technologies
AWS, Bedrock, LangGraph, Semantic Kernel, PydanticAI, GraphRAG, LangFuse, LangSmith
Responsibilities
Design and implement agent orchestration patterns (tool calling, planner/executor), build reliable enterprise context retrieval systems, establish rigorous LLMOps practices (evals, versioning, tracing), ensure safety and compliance in regulated environments (prompt injection, PII handling), and mentor engineering teams.
Seniority
Staff, hands-on IC with technical leadership
