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Tech Stack
Tools & technologiesDockerPythonSQL
About the role
Key responsibilities & impact- Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured outputs (Pydantic/JSON schema), retries, streaming, and memory
- Package agent harnesses for the AgentCore Runtime with appropriate context, tools, skills, and subagents that fit cleanly into production flows and scenarios
- Write the tools and skills agents use: API integrations, SQL queries against Snowflake, Snowflake backed knowledge retrieval with clear contracts and Pydantic validation
- Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore Evaluations, and wire them into CI
- Implement guardrails around tool execution: auth scoping, input/output validation, PII and prompt-injection protections, and hallucination mitigation
- You own what you ship: prototype, deploy through Amazon AgentCore, monitor traces, and fix it when it breaks
- Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex Search Services)
- Contribute to refining our internal engineering patterns as the stack evolves
Requirements
What you’ll need- 3+ years of professional Python, with production experience building and operating services
- 1+ years of hands-on work with LLMs in production: prompt/context engineering, tool/function calling, structured outputs, RAG
- Working knowledge of LangChain/LangGraph or a comparable framework like AgentCore Strands, CrewAI, or Semantic Kernel
- Experience with LLM observability tools: Amazon CloudWatch, LangSmith, Langfuse, MLflow, or OpenTelemetry
- Experience designing evaluation frameworks (MLFlow, DeepEval, LLM-as-judge, multi-turn regression)
- Fluency with Git, Docker, and modern API frameworks
- Clear written communication and the judgment to know when something is ready to ship
- A bachelor's degree is not required. Equivalent practical experience: including bootcamps, self-taught work, career changes, or non-CS technical degrees counts.
Benefits
Comp & perks- Flexible Time Off to recharge when needed
- Nine Company-Wide Holidays
- A diverse suite of benefits prioritizing your growth, development, and personal well-being
ATS Keywords
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Hard Skills & Tools
PythonAPI integrationsSQLPydanticLangChainLangGraphLLMsevaluation frameworksDockerGit
Soft Skills
clear written communicationjudgmentcollaboration