AI/ML Developer (Generative AI & Agentic AI)

Role Overview

Build and deploy production Generative AI, LLM, and agentic applications on Python and FastAPI backends.

Key Responsibilities

Design, build, and deploy Generative AI, LLM, and agentic AI applications into production.

Build scalable Python and FastAPI backend services, REST APIs, and microservices for AI applications.

Develop RAG solutions using LangChain or LlamaIndex with vector databases (Pinecone, ChromaDB, FAISS, Weaviate).

Design and optimize prompts using zero-shot, few-shot, chain-of-thought, and function calling techniques.

Integrate with cloud AI platforms (AWS Bedrock, SageMaker, Azure OpenAI, or Vertex AI), following Git, CI/CD, and documentation standards.

Must Have Skills

5 - 8 years of software development, including 2+ years in GenAI / LLM application development and 1+ year in agentic AI.

Strong Python with FastAPI in production applications.

Hands-on Generative AI, LLM, and agentic AI work delivered in live production projects.

Advanced prompt engineering, including function calling.

Able to walk through your implementation, architecture, use cases, and business outcomes in the interview.

Nice to Have

TypeScript

LangChain or LlamaIndex

Vector databases (Pinecone, ChromaDB, FAISS, Weaviate)

AWS Bedrock, SageMaker, Azure OpenAI, or Google Vertex AI

GraphQL, NLP, embeddings, and transformer models .