Agentic AI Engineer

Talentify; Detroit (MI); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health benefits

Referral program

Growth opportunities

Job summary

Talentify is seeking an Agentic AI Engineer for a hybrid role spanning Detroit, MI, and Charlotte, NC. You will design and build cloud-native automation using Python and AI agents with LangChain/LangGraph, deployed on AWS, and integrated across enterprise systems.

The role demands deep expertise in Python, LangChain, Docker, AWS, and REST APIs, with strong collaboration with onshore architects and adherence to architecture standards.

Qualifications

• Proficiency in Python for automation and backend services.

Responsibilities

• Design, develop, and support cloud-native automation and AI agent workflows.

Skills

Python

JavaScript

LangChain/LangGraph

Docker

REST APIs

JSON

Git

AWS

React/NodeJS

Tools

LangChain/LangGraph

Docker

AWS Cloud

Git

Job description

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