AI Engineer
Core
Designing, building, and operating production-grade AI agent harnesses using Python, LangChain, and LangGraph to solve complex business workflows.
Role type
Senior AI Engineer (LLM Agents & RAG)
Builds
Production agent harnesses, tool integrations, evaluation frameworks, and guardrails for enterprise workflows.
Domain
B2B Loyalty, MarTech, and AdTech
Deliverable
production ML models | product features
Required skills
Python, LLMs (prompt/context engineering, tool/function calling, RAG), LangChain/LangGraph, LLM observability, evaluation frameworks, Git, Docker, API frameworks, SQL
Preferred skills
Amazon Bedrock/AgentCore, Snowflake/Snowpark, multi-agent patterns (supervisor/router, human-in-the-loop), domain expertise in Loyalty/MarTech/AdTech
Technologies
LangChain, LangGraph, AgentCore, Amazon Bedrock, Snowflake, CloudWatch, LangSmith, Langfuse, MLflow, OpenTelemetry, Pydantic
Responsibilities
Build agent harnesses with tool calling and structured outputs; write tools and skills including API integrations and SQL queries; develop evaluation harnesses and connect to CI; implement guardrails for auth, PII, and prompt injection; prototype, deploy, and monitor agents via Amazon AgentCore; partner with data engineers on retrieval patterns.
Seniority
Senior, hands-on IC
