Senior Analyst - AI Engineer (R-19889)

Dun & Bradstreet, Inc.; Hyderabad; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Dun & Bradstreet, Inc. is seeking an AI Engineer II to design, implement, and deploy production-grade AI solutions. You will build modular agents, work with LangChain, embeddings, and enterprise data sources to support intelligent automation and business decisions.

You will collaborate with product, data, and technology teams, develop retrieval-augmented generation strategies, and ensure scalable data pipelines, CI/CD, and monitoring for reliable AI delivery.

Qualifications

• Bachelor's degree in CS, AI, or related field; advanced degree preferred.
• 5–8 years of AI/ML engineering, software engineering, or data science experience.
• Hands-on experience implementing AI solutions using LangChain.
• Strong Python programming and API/data pipeline development.
• Hands-on knowledge of agentic AI patterns, RAG, embeddings, and tool calling.

Responsibilities

• Design, implement, and deploy AI agents and generative AI solutions using Python, LangChain, and orchestration frameworks.
• Build modular, scalable agent components including memory, planning, tool use, and retrieval.
• Develop retrieval-augmented generation solutions with embeddings and vector databases.
• Integrate open-source and proprietary LLMs and evaluate models for business use cases.
• Collaborate with cross-functional teams to translate business needs into AI solutions.
• Prototype and evaluate agent behaviors, prompts, and tool-calling workflows.
• Maintain scalable data pipelines and APIs for AI development, evaluation, deployment, and monitoring.
• Benchmark performance and drive improvements for quality, latency, and cost.
• Implement observability, testing, guardrails, and reliable AI delivery.

Skills

LangChain

Python

APIs & Data Pipelines

Cloud Platforms

CI/CD / MLOps

RAG & Embeddings

Communication

English Fluency

Analytical Thinking

Cross-Functional Collaboration

Education

Bachelor's in CS/AI

Tools

Docker

Kubernetes

Job description

Shape the Future with Dun & Bradstreet

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. Since 1841, 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.

The AI Engineer will design, implement, and deploy production-ready AI solutions that enable intelligent automation and strengthen business capabilities. The role focuses on building modular, scalable agentic applications using open-source and proprietary large language models, with hands‑on implementation using LangChain. The AI Engineer II will develop reusable components, data pipelines, retrieval capabilities, and performance optimization strategies while partnering with business, product, data, and technology teams.

Key Responsibilities:

• Design, implement, and deploy AI agents and generative AI solutions using Python, with hands‑on use of LangChain and related orchestration frameworks
• Build modular, scalable, and reusable agent components, including memory, planning, tool use, retrieval, and multi-modal capabilities
• Develop retrieval-augmented generation (RAG) solutions using embeddings, vector databases, and enterprise data sources
• Integrate open-source and proprietary large language models and evaluate the appropriate model for each business use case
• Collaborate with Research, Managed Services, product, data, and technology teams to translate business needs into practical AI solutions
• Prototype and evaluate agent behaviors, prompt strategies, learning approaches, and tool-calling workflows
• Build and maintain scalable data pipelines and APIs that support AI development, evaluation, deployment, and monitoring
• Benchmark solution performance, identify bottlenecks, and implement improvements for quality, reliability, latency, and cost
• Implement observability, testing, evaluation, guardrails, and monitoring to support reliable and responsible AI delivery
• Maintain CI/CD and MLOps/LLMOps practices for controlled and repeatable delivery of AI capabilities
• Follow data governance, security, privacy, and intellectual property requirements throughout the solution lifecycle
• Communicate technical concepts clearly to both technical and non-technical stakeholders and contribute to knowledge sharing

Key Skills:

• Bachelor's degree in computer science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field; advanced degree preferred
• 5 to 8 years of relevant experience in AI/ML engineering, software engineering, data science, or a related technical field
• Demonstrated hands‑on experience implementing AI solutions using LangChain. Experience should include building and deploying working solutions, not only theoretical knowledge
• Strong programming experience in Python and experience developing APIs, reusable services, and data pipelines
• Hands‑on knowledge of agentic AI patterns, RAG, prompt engineering, embeddings, vector databases, model evaluation, and tool calling
• Experience with one or more cloud platforms such as Azure, AWS, or GCP and containerization technologies such as Docker or Kubernetes
• Experience with CI/CD, MLOps, or LLMOps practices, including testing, deployment, monitoring, and controlled releases
• Ability to explain technical decisions, solve ambiguous business problems, and collaborate effectively with cross-functional stakeholders
• Ownership mindset, curiosity, proactive problem solving, and a commitment to continuous learning and collaboration
• Fluency in English and any additional language relevant to the working market, where applicable