Dun & Bradstreet
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Chennai · Hybrid · 5-8 Yrs · 5 days ago
Business consulting · 5001 to 10000 Employees · Jacksonville, US
Dun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. We are guided by timeless values that make us the established leader in actionable data and insights. Our information is valuable at all phases of the business lifecycle and whatever the economic environment.
Hiring: Engineering
What employees say
+ No Night shift, comfortable working environment
− No appraisal and bonus pay
More reviews on the company profile.
Interview experience · Inter - Technology
This was for an On-campus selection process. The selection process consisted of resume shortlisting and then had an OA on Hackerrank platform which had 2 medium quesions. Then finally I had the technical interview which
Average difficulty · Chennai · 61 reports
More interview insightsJob description
Overview
Shape the Future with Dun & Bradstreet
Responsibilities
- Agent Development & Architecture
- 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.
- GenAI Application Engineering
- 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.
- Data & Platform Engineering
- 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.
- MLOps / LLMOps
- Contribute to CI/CD workflows for AI models—deployment, testing, monitoring.
- Implement governance, guardrails, and reusable GenAI frameworks.
- Collaboration & Stakeholder Engagement
- 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.
Qualifications
- 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.
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Job application FAQ
Last updated 24 October 2026
- How do I apply for Senior Gen AI Engineer at Dun & Bradstreet?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Dun & Bradstreet may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Senior Gen AI Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior Gen AI Engineer remote or on-site in Chennai, Tamil Nadu?
- This listing is marked hybrid with location Chennai, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this Senior Gen AI Engineer role at Dun & Bradstreet?
- This is a senior Senior Gen AI Engineer role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.