DU

Senior Gen AI Engineer

Dun & Bradstreet Hybrid - Hyderabad

Job Description

Job description 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 Strong problem solving, system design thinking, and ability to translate business needs into scalable AI solutions Excellent verbal, written communication and presentation skills. Role: Data Science & Analytics - Other Industry Type: Analytics / KPO / Research Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Analytics - Other Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Data ScienceGenerative AiFraud InvestigationRetrieval Augmented GenerationPython LangchainLanggraphAimlMachine LearningFraud DetectionSQL