AI Engineer
New
Detroit, Michigan; St. Louis, Missouri; Richmond, Virginia; Raleigh, North Carolina; Dallas, Texas; Indianapolis, Indiana; Minneapolis, Minnesota; St. Petersburg, FloridaFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3+ years of professional Python, 1+ years of hands-on work with LLMs in production
- Required Skills
- DockerPythonSQLSnowflakeMLOpsLangChain
Requirements
- 3+ years of professional Python experience with production services.
- 1+ years of hands-on experience with LLMs in production (RAG, prompt engineering, tool calling).
- Working knowledge of LangChain, LangGraph, or comparable frameworks.
- Experience with LLM observability tools like LangSmith, Langfuse, or OpenTelemetry.
- Experience designing evaluation frameworks like MLflow or DeepEval.
- Fluency with Git, Docker, and modern API frameworks.
- Strong written communication and judgment skills.
- Experience with Amazon Bedrock or AgentCore (preferred).
- Experience with Snowflake, Snowpark, or Snowflake Cortex (preferred).
- Proficiency in SQL and understanding of semantic models (preferred).
Responsibilities
- Build agent harnesses in Python using LangChain and LangGraph including tool-calling and streaming.
- Package agent harnesses for the AgentCore Runtime.
- Write tools and skills for agents including API integrations and SQL queries against Snowflake.
- Build evaluation harnesses like golden datasets and LLM-as-judge, wired into CI.
- Implement guardrails for tool execution, auth scoping, and hallucination mitigation.
- Own full-cycle development: prototype, deploy, monitor, and fix production issues.
- Partner with data engineers on Snowflake-backed retrieval patterns.
- Contribute to refining internal engineering patterns.
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