Generative AI Engineer
Role:
Design, develop, and deploy AI-powered applications using Large Language Models (LLMs), Multi-Agent Systems, and RAG architectures. Build scalable AI solutions, integrate LLMs with enterprise applications, develop MCP servers, and optimize AI performance.
Must-Have Skills:
- Python
- FastAPI
- LLMs (OpenAI, Anthropic, Gemini, etc.)
- Multi-Agent Frameworks (LangChain, LangGraph, CrewAI)
- RAG Architecture
- AI Solution Evaluation & Testing
- Vector Databases (Pinecone, Milvus, FAISS)
- Prompt Engineering
Key Responsibilities:
- Develop AI applications and APIs using Python/FastAPI.
- Build RAG pipelines and vector search solutions.
- Create Multi-Agent workflows and MCP servers.
- Manage vector databases and data ingestion pipelines.
- Implement AI evaluation, guardrails, and performance optimization.
- Integrate enterprise systems with LLMs and AI agents.
Nice-to-Have Skills:
- Docker
- CI/CD Pipelines
- MCP (Model Context Protocol)
- AWS / Azure Cloud
- TypeScript / Node.js
Experience: 3+ years in Python development and hands-on experience in Generative AI, RAG, and Agentic AI solutions.
Pay: ₹900,000.00 - ₹1,900,000.00 per year
Benefits:
Work Location: Hybrid remote in Bengaluru, Karnataka
