Senior Gen AI Engineer

About the job

Key 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.

Requirements

• Python
• PySpark
• GenAI
• APIs
• SDKs
• MLOps
• LLMOps
• distributed systems

Preferred Technologies

• Python
• PySpark
• GenAI
• APIs
• SDKs
• MLOps
• LLMOps
• distributed systems

About the company

At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas.