Location: Bangalore – RMZ Bellandur

Experience: 7–10 Years

Role Overview

We are looking for an experienced AI Engineer / Data Scientist with strong expertise in Generative AI, Agentic AI, and Multi-Agent Systems. The candidate will be responsible for designing and deploying LLM-powered applications, autonomous AI agents, and enterprise-grade AI solutions.

Key Responsibilities

- Design and develop multi-agent AI systems for autonomous task execution.
- Build LLM-powered applications using GPT, Claude, Llama, and Azure OpenAI.
- Develop Agentic AI workflows using LangChain, CrewAI, AutoGen, or Semantic Kernel.
- Build RAG pipelines and integrate vector databases.
- Develop AI agents integrated with APIs, databases, and enterprise systems.
- Implement prompt engineering, context management, and LLM optimization.
- Deploy scalable AI solutions using Docker, Kubernetes, and MLOps/LLMOps.
- Implement AI monitoring, evaluation, safety, and governance.

Required Skills




- Strong hands-on experience in Python .
- Expertise in Generative AI, LLMs, and Agentic AI .
- Experience with LangChain, CrewAI, AutoGen, or Semantic Kernel .
- Hands-on experience building Multi-Agent AI systems .
- Robust knowledge of RAG and Vector Databases – FAISS, Pinecone, Weaviate.
- Experience with OpenAI, Hugging Face Transformers, GPT, or Azure OpenAI.
- Knowledge of Prompt Engineering, Tool Calling, and LLM Orchestration.
- Experience with Azure, AWS, or GCP.
- Knowledge of Docker, Kubernetes, and CI/CD.

Preferred Skills
- Experience with ReAct, Plan-and-Execute, or Tree-of-Thought.
- Knowledge of LLM evaluation tools such as RAGAS, TruLens, or Promptfoo.
- Experience with Knowledge Graphs and enterprise AI copilots.
- Exposure to MLOps and LLMOps.

Work Mode & Shift
- Shift: 1:30 PM – 10:30 PM

📌 Senior Associate Data Scientist (AI & Machine Learning – GenAI) (Bengaluru)
🏢 Innova ESI
📍 Bengaluru