Job Title : Senior AI/Generative AI Engineer

Experience : 5 to 7 Years

Key Skills &

Responsibilities :

- 5 to 7 years of experience in Data Science, AI/ML, or Software Development.
- Hands-on experience in Generative AI (GenAI) applications and solutions.
- Strong expertise in Agentic AI / Autonomous AI Agents.
- Experience designing and implementing Retrieval-Augmented Generation (RAG) architectures.
- Strong programming skills in Python.
- Experience building and managing Multi-Agent Systems.
- Hands-on experience with AI orchestration frameworks such as : LangChain, LangGraph, AutoGen.
- Experience working with Vector Databases (e.g., Pinecone, ChromaDB, Weaviate, Milvus, FAISS, Qdrant).
- Experience with cloud AI platforms such as : Azure OpenAI, AWS Bedrock, Google Vertex AI.
- Solid understanding of API Integration and Microservices Architecture.
- Excellent problem-solving, communication, and collaboration skills.

Mandatory Skills :

- Generative AI
- Agentic AI / Autonomous AI Agents
- RAG (Retrieval-Augmented Generation)
- Python
- LangChain / LangGraph / AutoGen
- Multi-Agent Systems
- Vector Databases
- Azure OpenAI / AWS Bedrock / Google Vertex AI
- API Integration
- Microservices Architecture

📌 Senior Generative AI Engineer (India)
🏢 Innomatics Research Labs
📍 India