Analyst

Dun & Bradstreet Technology and Corporate Services India LLP, the global center of excellence for technology and analytics solutions, is seeking an experienced Analyst, AI Engineer in Chennai, India. This role is integral to our global Analytics organization, focused on designing, building, and operationalizing AI-driven solutions. You will specialize in predictive models and decision management, converting raw data into actionable insights for a diverse client base including banks, financial services, credit bureaus, and rating agencies worldwide.

We are looking for a candidate with strong hands-on expertise in Python, PySpark, agentic workflow development, and modern Generative AI (GenAI) frameworks. Your experience in building scalable applications using Large Language Models (LLMs), retrieval systems, and automation pipelines will be crucial. You will collaborate closely with data scientists, MLOps engineers, and business stakeholders to develop intelligent, production-grade systems that align with the organization's GenAI roadmap, powering next-generation analytics and decisioning capabilities.

Key Responsibilities:

• Develop AI Agents and copilots using Google's Gemini API and Microsoft Copilot Studio.
• Integrate AI agents with enterprise data sources, internal tools, and third-party services via robust Python code and REST APIs.
• Implement and refine Retrieval-Augmented Generation (RAG) pipelines for accurate, context-aware responses grounded in proprietary data.
• Craft, test, and iterate on effective prompts for agent behavior, ensuring reliability, safety, and desired outcomes.
• Participate in the full development lifecycle: concept, design, testing, deployment, and maintenance.
• Collaborate with senior engineers on technical challenges and product managers to translate business requirements into functional agent capabilities.
• Debug and resolve issues in agent performance across LLMs, data pipelines, and 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.

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: prompt engineering, embeddings, and function calling/tool use.
• Experience consuming and interacting with REST APIs.
• A proactive, problem-solving mindset with a 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.
• Familiarity with agentic frameworks like LangChain, LlamaIndex, or Microsoft's Semantic Kernel.
• Experience with cloud services on GCP (like Vertex AI) or Azure.
• Knowledge of vector databases (e.g., Pinecone, Chroma, Weaviate) and their role in RAG architectures.
• Basic understanding of CI/CD pipelines and containerization (Docker).

This is a permanent role located in Chennai or Hyderabad, India.