LangChain/ LangGraph/ Agentic AI Engineer
iTech US, Inc.
Detroit, United States of America
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Detroit, United States of America
Tech stack
JavaScript
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Azure
BASIC (Programming Language)
Information Systems
Databases
Identity and Access Management
JSON
Python
Node.js
Data Logging
React
Backend
GIT
Containerization
Information Technology
Amazon Web Services (AWS)
Functional Programming
Cloudwatch
REST
Docker
Job description
- 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.
Required Education: At least a Bachelor's Degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems or closely related field is required.
Necessary Skills: Python, LangChain, LangGraph, AWS, Agentic