Data Scientist

Job Title: AI/ML Engineer –

GenAI / Agentic AI

Experience: 3+ Years

Location: Pune / Indore / Bangalore / Kolkata Role

Summary

We are looking for an experienced AI/ML Engineer – GenAI / Agentic AI to design, build, and deploy intelligent, autonomous AI systems. The role involves working on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, and Agentic AI frameworks to solve real-world enterprise problems. Key Responsibilities

• Design, develop, and deploy Generative AI and Agentic AI solutions using LLMs

• Build and optimize RAG pipelines with vector databases (FAISS, Pinecone, Weaviate, etc.)

• Develop multi-agent systems using frameworks like LangChain, LangGraph, AutoGen, CrewAI

• Integrate LLMs with enterprise systems, APIs, tools, and workflows

• Fine-tune and prompt-engineer LLMs for domain-specific use cases

• Implement evaluation, monitoring, and guardrails for GenAI systems

• Collaborate with product, data, and cloud teams for scalable deployment

• Ensure performance, cost optimization, security, and compliance

Mandatory Skills

• Python (Strong proficiency)

• AI/ML fundamentals – NLP, Deep Learning, Transformers

• Generative AI & LLMs (OpenAI, Azure OpenAI, Gemini, Anthropic, LLaMA, etc.)

• Agentic AI frameworks – LangChain / LangGraph / AutoGen / CrewAI

• RAG architecture and vector databases

• Prompt engineering & LLM orchestration

• REST APIs, microservices integration Good to Have

• Fine-tuning LLMs (LoRA, PEFT)

• Experience with MLOps / LLMOps (MLflow, Kubeflow, monitoring tools) • Cloud platforms: AWS / Azure / GCP

• Knowledge of Docker, Kubernetes

• Experience in enterprise use cases (BFSI, Healthcare, Retail, Telecom) Qualifications

• B.E. / B.Tech / M.Tech / MCA in Computer Science, AI, Data Science, or related field

• 5+ years of hands-on experience in AI/ML with recent focus on GenAI / Agentic AI Why Join Us

• Work on cutting-edge Agentic AI & GenAI platforms

• Opportunity to build autonomous, production-grade AI systems

• High-impact enterprise projects • Collaborative and innovation-driven environment