Dun & Bradstreet

Senior Gen AI Engineer

Dun & Bradstreet

full-time

Posted on:

Location Type: Hybrid

Location: Chennai • India

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Job Level

Senior

Tech Stack

AWSAzureCloudDockerGoogle Cloud PlatformPySparkPython

About the role

  • 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.
  • Partner with data scientists to productionize POCs.
  • 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.
  • Contribute to CI/CD workflows for AI models—deployment, testing, monitoring.
  • Implement governance, guardrails, and reusable GenAI frameworks.
  • 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.

Requirements

  • 5–8 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.
  • Strong problem solving, system design thinking, and ability to translate business needs into scalable AI solutions.
  • Excellent verbal, written communication and presentation skills.
Benefits
  • Health insurance
  • Flexible work arrangements
  • Professional development
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonPySparkAPI developmentLangChainLangGraphTransformersOpenAI SDKVertex SDKBedrock SDKGenAI
Soft Skills
problem solvingsystem design thinkingcommunicationpresentation