Key Responsibilities:

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

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

Data & Platform Engineering
Build distributed data pipelines (Python, PySpark)
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 GenAI 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 GenAI capability building.

Key Requirements:

8-12 years of experience in AI/ML engineering, data science, or software engineering, with atleast 2 years focused on GenAI
Strong programming expertise in Python, distributed computing using PySpark, and API development
Hands on experience with LLM frameworks (LangChain, LangGraph, Transformers, OpenAI/Vertex/Bedrock SDKs)
Experience developing AI agents, retrieval pipelines, tool calling structures, or autonomous task orchestration
Solid understanding of GenAI 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
Robust problem solving, system design thinking, and ability to translate business needs

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