Unknown Company

Agentic AI Engineer

detroit, mi • Posted Today
Hybrid Full Time Professional Services

Our client, a IT Services and Consulting company, is looking for a Agentic AI Engineer for their Detroit, MI/ Charlotte, NC/Hybrid location.


Responsibilities:



  • Design, develop, and support cloud-native automation and Al agent workflows using Python and LLM orchestration frameworks (LangChain / LangGraph), deployed on AWS using containerized architectures.

  • Develop automation solutions using Python.

  • Build Al agents using LangChain and LangGraph to orchestrate tools, APls, and workflows.

  • Integrate automations with enterprise systems via REST APIs and databases.

  • Containerize services using Docker and support CI/CD pipelines.

  • Deploy and operate solutions on AWS (IAM, S3, Lambda, ECS/Fargate, CloudWatch).

  • Reasoning Engines: Experience with frontier models like GPT-4o, Claude 3.5, and Llama 3.x/4 specifically for tool-calling and JSON-mode outputs

  • Azure OpenAI proficiency .

  • Agentic RAG 2.0: Develop \"iterative retrieval\" systems where agents autonomously decide if they have enough information or if they need to perform additional searches/queries.

  • Implement logging, error handling, and basic monitoring.

  • Collaborate with onshore architects and follow defined architecture standards


Requirements:



  • Python (automation, backend services).

  • JavaScript (React/Node JS)

  • LangChain and/or LangGraph hands-on experience.

  • Docker and container-based deployments.

  • AWS Cloud Practitioner-level knowledge with hands-on exposure.

  • REST APIS, JSON, Git.

  • Years of Experience: 8+ Years of Experience


Skills:



  • Category Name Required Importance

  • IDE DevOps AWS Cloud Yes 1

  • Software Skills Python Yes 1

  • Web Development Javascript Yes 1


Why Should You Apply?



  • Health Benefits

  • Referral Program

  • Excellent growth and advancement opportunities

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Agentic AI Engineer in detroit at Unknown Company

This position is listed as full time and hybrid.

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