Related skills
langchain langgraph llm crewai agent orchestrationπ Description
- Lead efforts to improve the MCP server for agents to discover and interact with services
- Design and implement agentic tool surfaces for evaluation/production across AI agents
- Build evaluation pipelines for agent performance on investigations, triage, and metrics
- Investigate and resolve failures by analyzing tool output and refining queries
- Collaborate with Applied AI and internal teams to align on integration and data access
π― Requirements
- Experienced staff-level engineer with applied AI background
- Proficient in agentic programming and LLM-powered automation pipelines
- Experience with LLM orchestration frameworks: LangChain, LangGraph, CrewAI
- Strong skills in building evaluation frameworks and metrics design
- Ability to work in high-ambiguity, fast-changing environments
- Bonus: MCP standard familiarity and ReAct-like loop experience
π Benefits
- Generous and competitive benefits package
- RSUs and employee stock purchase plan
- Continuous career development and pathing opportunities
- Employee-focused onboarding
- Internal mentor and cross-department buddy program
- Inclusive workplace culture
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