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AI Engineer

3 months, 3 weeks ago
United States
Full-time
Mid Level
AI Engineer
Software Development
Docker Git LLM MLflow OpenTelemetry Python Snowflake SQL
Apply Now
Kobie Marketing

Kobie Marketing

Kobie Marketing specializes in providing comprehensive loyalty marketing solutions, combining strategy, technology, and program management to enhance customer experiences and drive enterprise value for leading global brands.

Professional Services
251-1K
Founded 1990
View All Jobs 13

Description

  • Build agent harnesses in Python using LangChain and LangGraph, including tool calling, structured outputs, retries, streaming, and memory.
  • Package agent harnesses for the AgentCore Runtime with the right context, tools, skills, and subagents for production use cases.
  • Develop the tools and skills agents use, including API integrations, SQL queries against Snowflake, and knowledge retrieval with validation.
  • Create evaluation harnesses such as golden datasets, LLM-as-judge checks, and regression suites, and integrate them into CI.
  • Implement guardrails around tool execution, including auth scoping, input/output validation, PII protection, prompt-injection protection, and hallucination mitigation.
  • Prototype, deploy, monitor, and troubleshoot agent features in production using Amazon AgentCore.
  • Partner with data engineers on Snowflake-backed retrieval patterns, including Cortex Analyst and Cortex Search Services.
  • Help refine internal engineering patterns as the platform and stack evolve.

Requirements

  • 3+ years of professional Python experience with production experience building and operating services.
  • 1+ years of hands-on production experience with LLMs, including prompt/context engineering, tool or function calling, structured outputs, and RAG.
  • Working knowledge of LangChain, LangGraph, or a comparable framework such as AgentCore Strands, CrewAI, or Semantic Kernel.
  • Experience with LLM observability tools such as Amazon CloudWatch, LangSmith, Langfuse, MLflow, or OpenTelemetry.
  • Experience designing evaluation frameworks such as MLflow, DeepEval, LLM-as-judge, or multi-turn regression testing.
  • Fluency with Git, Docker, and modern API frameworks.
  • Clear written communication and sound judgment about when something is ready to ship.
  • Bachelor's degree not required; equivalent practical experience, including bootcamps, self-taught work, career changes, or non-CS technical degrees, is accepted.
  • Strongly preferred: hands-on experience with Amazon Bedrock and/or AgentCore, including runtime, gateways, memory, policy, guardrails, observability, awscli, and evaluations.
  • Strongly preferred: experience with Snowflake, Snowpark, or Snowflake Cortex, plus fluency in SQL and semantic models.
  • Strongly preferred: familiarity with multi-agent patterns such as supervisor/router, subagent/handoff, reflection, and human-in-the-loop.
  • Strongly preferred: experience in Loyalty, MarTech, AdTech, or a comparable data-rich B2B domain.

Benefits

  • Flexible remote work environment.
  • Flexible Time Off to recharge when needed.
  • Nine company-wide holidays.
  • A diverse suite of benefits focused on growth, development, and personal well-being.

Interested in this position?

Apply directly on the company website

Apply Now

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