Key Responsibilities:

Agent Development & Architecture: Build agentic workflows using Lang Chain/Lang Graph and similar frameworks. • Develop autonomous agents for data validation, reporting, document processing, and domain workflows Deploy scalable, resilient agent pipelines with monitoring and evaluation

Gen AI Application Engineering Develop Gen AI applications using models like GPT, Gemini, and LLa M Implement RAG, vector search, prompt orchestration, and model evaluation Partner with data scientists to productionize POCs

Data & Platform Engineering Build distributed data pipelines (Python, Py Spark) Develop APIs, SDKs, and integration layers for AI-powered applications Optimize systems for performance and scalability across cloud/hybrid environments.

MLOps / LLMOps Contribute to CI/CD workflows for AI models-deployment, testing, monitoring Implement governance, guardrails, and reusable Gen AI frameworks.

Collaboration & Stakeholder Engagement Work with analytics, product,



and engineering teams to define and deliver AI solutions Participate in architecture reviews and iterative development cycles Support knowledge sharing and internal Gen AI capability building.

Key Requirements:

8-12 years of experience in AI/ML engineering, data science, or software engineering, with atleast 2 years focused on Gen AI Solid programming expertise in Python, distributed computing using Py Spark, and API development Hands on experience with LLM frameworks (Lang Chain, Lang Graph, Transformers, Open AI/Vertex/Bedrock SDKs) Experience developing AI agents, retrieval pipelines, tool calling structures, or autonomous task orchestration Solid understanding of Gen AI concepts: prompting, embeddings, RAG, evaluation metrics, hallucination identification, model selection, fine tuning, context engineering Experience with cloud platforms (Azure/AWS/GCP), containerization (Docker), and CI/CD pipelines for ML/AI Strong problem solving, system design thinking, and ability to translate

📌 Data Scientist (Chennai)
🏢 Dun & Bradstreet India
📍 Chennai