AI Developer

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.

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

Responsibilities:
Build AI agents using LangChain and LangGraph to orchestrate tools, APIs, 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.