Role- Agentic AI developer
Location- Charlotte (2 days hybrid)
Overall 7+ years experience
JD-
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.
Responsibilities
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).
Implement logging, error handling, and basic monitoring.
Collaborate with onshore architects and follow defined architecture standards.
Required Skills
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.