Analyst, AI Engineer

Analyst, AI Engineer

Why We Work at Dun & Bradstreet

We are at a transformational moment in our company journey - and we’re so excited about it. Each day, we are finding new ways to strengthen our award-winning culture, and to accelerate creativity, innovation and growth. Our purpose is to help customers improve business performance with Dun & Bradstreet’s Data Cloud and Live Business Identity, and we’re wildly passionate and committed to this purpose.

So, if you’re looking to make an immediate impact at a company that welcomes bold and diverse thinking, come join us!

The Role:

Dun & Bradstreet Technology and Corporate Services India LLP is the global center of excellence for providing technology and analytics solutions and services to Dun & Bradstreet and its clients globally. We specialize in delivering predictive models and decision management solutions to convert raw data into actionable insights. Our customers include banks, financial services organizations, credit bureaus, rating agencies and thousands of businesses across the globe.

Headquartered in Hyderabad (India), the company employs high caliber data scientists, economists, analytics professionals and data engineers from some of the finest institutions in the country striving to create more transparent credit & business environment and robust economies.

We are looking for an experienced AI Engineer to design, build, and operationalize AI driven solutions for our global Analytics organization. The ideal candidate will have strong hands-on expertise in Python, PySpark, agentic workflow development, and modern GenAI frameworks, with experience building scalable applications using LLMs, retrieval systems, and automation pipelines.

You will work closely with data scientists, MLOps engineers, and business stakeholders to build intelligent, production grade systems that power next generation analytics and decisioning capabilities—aligned with the organization’s GenAI roadmap.

Key Responsibilities:

• Develop AI Agents:
Design, code, and implement AI agents and copilots using Google's Gemini API and Microsoft Copilot Studio.

• Integrate Systems:
Write robust Python code to connect AI agents with enterprise data sources, internal tools, and third-party services via REST APIs.

• Implement RAG Patterns:
Build and refine Retrieval-Augmented Generation (RAG) pipelines to ensure agents provide accurate, context-aware responses grounded in proprietary data.

• Prompt Engineering:
Craft, test, and iterate on effective prompts to guide agent behavior, ensuring reliability, safety, and desired outcomes.

• Full Lifecycle Development:
Participate in the entire development lifecycle, from initial concept and design through to testing, deployment, and maintenance.

•

Collaboration:

Work closely with senior engineers to overcome technical challenges and with product managers to translate business requirements into functional agent capabilities.

• Troubleshooting:
Debug and resolve issues in agent performance, whether they stem from the underlying LLM, the data pipeline, or the integration code.

• 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.

Internal Use Only

Key Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or a related field.

• 2-4 years of professional software development experience.

• Strong programming proficiency in Python and a solid understanding of object-oriented principles.

• At least 1 year of hands-on experience building applications with Large Language Models (LLMs) through professional work, significant personal projects, or open-source contributions.

• Solid understanding of core LLM concepts, including prompt engineering, embeddings, and function calling/tool use.

• Experience consuming and interacting with REST APIs.

• A proactive, problem-solving mindset and a strong desire to learn and adapt in a fast-evolving field.

• Direct experience making API calls to Google's Gemini, OpenAI models, or using Microsoft Copilot Studio/Azure OpenAI Service.

•…