Added
7 days ago
Type
Full time
Salary
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Related skills

python langchain llamaindex langgraph temporal

πŸ“‹ Description

  • Hands-on engineering role building production-grade agentic AI workflows.
  • Architect multi-agent, stateful workflows for enterprise scale using LangGraph, Temporal, and
  • Own AI observability with LangFuse across model interactions.
  • Define AI engineering standards for RAG, prompt management, and tool-calling strategies.
  • Collaborate with product/platform teams to meet SLA, security, and compliance.
  • Evaluate new tooling and improvements in the agentic stack.

🎯 Requirements

  • 8+ years of software engineering with 3+ years in production AI agents.
  • Hands-on LangGraph, Temporal, and Pydantic expertise for enterprise-scale workflows.
  • Hands-on LangFuse expertise: tracing, evaluation, prompt management, dataset-driven testing.
  • Proficiency with agent harness frameworks (LangChain, LlamaIndex, CrewAI).
  • Deep Python proficiency and strong engineering fundamentals (testing, CI/CD, architecture).
  • Cloud AI deployment experience (AWS/Azure/GCP) including containers and cost management.

🎁 Benefits

  • Competitive healthcare coverage and wellness programs.
  • Take-it-when-you-need-it time off and parental leave.
  • Recognition programs and ongoing learning opportunities.
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