Senior Gen AI Engineer (R-18859)

Dun & Bradstreet; Chennai District; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A leading business analytics firm in Chennai is looking for an AI/ML Engineer with expertise in developing GenAI applications and robust data pipelines. The candidate should have 5–8 years of relevant experience, strong programming skills in Python, and familiarity with cloud platforms. Responsibilities include building workflows, developing autonomous agents, and engaging with product teams to deliver AI solutions. A commitment to innovation and teamwork is essential for success in this role.

Qualifications

• 5–8 years of experience in AI/ML engineering, data science, or software engineering, with at least 2 years focused on GenAI.
• Strong programming expertise in Python and distributed computing using PySpark.
• Hands-on experience with LLM frameworks (LangChain, LangGraph, Transformers, OpenAI/Vertex/Bedrock SDKs).
• Experience developing AI agents and retrieval pipelines.
• Solid understanding of GenAI concepts: prompting, embeddings, RAG, evaluation metrics.
• Experience with cloud platforms and CI/CD pipelines for ML/AI.

Responsibilities

• Build agentic workflows using LangChain/LangGraph.
• Develop autonomous agents for data validation and document processing.
• Deploy scalable agent pipelines with monitoring and evaluation.
• Develop GenAI applications using models like GPT, Gemini, and LLaMA.
• Contribute to CI/CD workflows for AI model deployment and monitoring.

Skills

AI/ML engineering

Python programming

Data science

GenAI application development

Distributed computing with PySpark

API development

Hands-on experience with LLM frameworks

Cloud platforms (Azure/AWS/GCP)

CI/CD pipelines for ML/AI

Problem-solving

Tools

LangChain

LangGraph

Docker

Job description

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. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers.

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.

Key Skills

• 5–8 years of experience in AI/ML engineering, data science, or software engineering, with at least 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please visit https://bit.ly/3LMn4CQ.