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