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.
Solid 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 Telangana (India)
🏢 Dun & Bradstreet
📍 India