Role & responsibilities:

- 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.
- Develop GenAI applications using models like GPT, Gemini, and LLaMA. •Implement RAG, vector search, prompt orchestration, and model evaluation.
- Build distributed data pipelines (Python, PySpark).
- Develop APIs, SDKs, and integration layers for AIpowered applications.
- Contribute to CI/CD workflows for AI modelsdeployment, testing, monitoring.
- Work with analytics, product, and engineering teams to define and deliver AI solutions.
- Participate in architecture reviews and iterative development cycles.

Preferred candidate profile

- 6- 9 years of experience in AI/ML engineering, data science, or software engineering.
- 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 into scalable AI solutions
- Excellent verbal, written communication and presentation skills.

📌 Senior Gen AI Engineer (Hyderabad)
🏢 Dun & Bradstreet
📍 Hyderabad