Agentic AI / Generative AI Engineer

We are seeking an Agentic AI / Generative AI Engineer to design, build, and deploy LLM-powered intelligent agents on AWS. The ideal candidate will have strong Python backend experience, hands-on exposure to LLMs and agent frameworks, and experience building production-ready AI applications using AWS cloud services.

This role focuses on developing autonomous and semi-autonomous AI agents, integrating Large Language Models with enterprise systems, and deploying scalable, secure AI solutions on AWS.

🔑 Key Responsibilities

• Design and develop agent-based AI systems using LLMs

• Build and maintain LLM-driven workflows using frameworks like LangChain, LangGraph, CrewAI, or AutoGen

• Implement RAG (Retrieval Augmented Generation) pipelines using vector databases

• Develop backend services and APIs using Python (FastAPI / Flask)

• Integrate LLMs with internal tools, APIs, and data sources

• Deploy, monitor, and scale AI solutions on AWS

• Optimize prompt design, embeddings, and agent decision logic

• Ensure security, reliability, and performance of AI applications

• Collaborate with product, ML, and cloud teams to deliver end-to-end solutions

✅ Required Skills & Qualifications

• Strong proficiency in Python

• Hands-on experience with Large Language Models (LLMs) such as GPT, Claude, LLaMA, or similar

• Experience building Generative AI or Agentic AI applications

• Knowledge of agent frameworks (LangChain, LangGraph, CrewAI, AutoGen, etc.)

• Experience with RAG architectures and vector databases (Pinecone, FAISS, Chroma, OpenSearch, etc.)

• Solid understanding of AWS services, including:

  • AWS Bedrock

  • Lambda

  • S3

  • API Gateway

  • IAM

• Experience developing RESTful APIs and backend systems

• Understanding of cloud security, scalability, and monitoring