Job Description
Key Responsibilities:
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nAgent Development & Architecture:
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- Build agentic workflows using LangChain/LangGraph and similar frameworks. • Develop autonomous agents for data validation, reporting, document processing, and domain workflowsn
- Deploy scalable, resilient agent pipelines with monitoring and evaluationn

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nGenAI Application Engineering
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- Develop GenAI applications using models like GPT, Gemini, and LLaMn
- Implement RAG, vector search, prompt orchestration, and model evaluationn
- Partner with data scientists to productionize POCsn

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nData & Platform Engineering
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- Build distributed data pipelines (Python, PySpark)n
- Develop APIs, SDKs, and integration layers for AI-powered applicationsn
- Optimize systems for performance and scalability across cloud/hybrid environments.n

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nMLOps / LLMOps
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- Contribute to CI/CD workflows for AI models-deployment, testing, monitoringn
- Implement governance, guardrails, and reusable GenAI frameworks.n

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nCollaboration & Stakeholder Engagement
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- Work with analytics, product, and engineering teams to define and deliver AI solutionsn
- Participate in architecture reviews and iterative development cyclesn
- Support knowledge sharing and internal GenAI capability building.n

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nKey Requirements:
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- 8-12 years of experience in AI/ML engineering, data science, or software engineering, with atleast 2 years focused on GenAIn
- Robust programming expertise in Python, distributed computing using PySpark, and API developmentn
- Hands on experience with LLM frameworks (LangChain, LangGraph, Transformers, OpenAI/Vertex/Bedrock SDKs)n
- Experience developing AI agents, retrieval pipelines, tool calling structures, or autonomous task orchestrationn
- Solid understanding of GenAI concepts: prompting, embeddings, RAG, evaluation metrics, hallucination identification, model selection, fine tuning, context engineeringn
- Experience with c

📌 Data Scientist (Tamil Nadu)
🏢 Dun & Bradstreet India
📍 Tamil Nadu