Related skills
langchain langgraph llm crewai agent orchestration📋 Description
- Lead improvements to the MCP server for agent discovery and interaction
- Design and implement agentic tool surfaces for evaluation and production
- Build advanced evaluation pipelines for agent performance in Datadog workflows
- Investigate failures by analyzing tool output and improving parsing
- Collaborate with Applied AI and internal teams on tool integration standards
🎯 Requirements
- Staff-level engineer with applied AI and agentic programming exp
- Experience with LLM automation pipelines and orchestration (LangChain, LangGraph, CrewAI)
- Comfortable with ambiguity and fast-changing environments; autonomous prioritization
- Skilled in building evaluation frameworks for LLM agents; metrics and instrumentation
- Bonus: MCP standard knowledge or contributor to agent tooling; ReAct loops
- Strong systems thinking across multiple agents, tools, and user scenarios
🎁 Benefits
- Generous and competitive benefits package
- RSUs and employee stock purchase plan
- Ongoing career development and growth
- Best-in-class onboarding
- Internal mentor and cross-department buddy program
- Friendly and inclusive workplace culture
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