North AmericaFull TimeEngineering
Remotely
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pythonlangchainlanggraphllamaindexcrewaitemporallangfusepydantic
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Job Description
📋 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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