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