Description

Build and maintain full-stack applications with a focus on Agentic AI and LLM integration.

This role is on-site.

Responsibilities

• Develop backend services using Python, FastAPI, or Flask.
• Build responsive frontends with React, Next.js, and TypeScript.
• Implement Agentic AI workflows using LangChain, LangGraph, Bedrock Agents, or Strands.
• Design retrieval workflows and integrate vector databases for semantic search.
• Manage cloud infrastructure and deployments on AWS using Docker and Kubernetes.

Required Skills

• 7+ years of experience in full-stack product engineering.
• Proficiency in Python and backend frameworks (FastAPI, Flask).
• Strong experience with React, Next.js, and TypeScript.
• Hands-on work with Agentic AI frameworks (LangChain, LangGraph, Bedrock Agents, Strands).
• Experience with vector databases and retrieval-augmented generation (RAG) patterns.
• Knowledge of LLM integration, embeddings, tokenization, and prompt engineering.
• Practical experience with AWS cloud services, Docker, and Kubernetes.
• Understanding of CI/CD pipeline implementation.

Key Skills

Education

Any Gradute