Dun & Bradstreet

Global business data and analytics platform

AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours

Full-timeHyderabad, Telangana, IndiaNo salary listedHybrid

About the Job

Requirements

A bachelor's degree in computer science, artificial intelligence, machine learning, data science, engineering, or a related field is required.
Five to eight years of relevant experience in AI/ML engineering, software engineering, data science, or a related technical field is required.
Hands-on experience implementing and deploying working AI solutions using LangChain is required.
Strong Python programming experience and experience developing APIs, reusable services, and data pipelines are required.
Hands-on knowledge of agentic AI patterns, retrieval-augmented generation, prompt engineering, embeddings, vector databases, model evaluation, and tool calling is required.
Experience with one or more cloud platforms such as Azure, AWS, or GCP and containerization technologies such as Docker or Kubernetes is required.
Experience with CI/CD, MLOps, or LLMOps practices, including testing, deployment, monitoring, and controlled releases, is required.
Ability to explain technical decisions, solve ambiguous business problems, and collaborate with cross-functional stakeholders is required.
Fluency in English is required; fluency in an additional language relevant to the working market is required where applicable.

Responsibilities

Design, implement, and deploy AI agents and generative AI solutions using Python, LangChain, and related orchestration frameworks.
Build modular, scalable, reusable agent components, including memory, planning, tool use, retrieval, and multimodal capabilities.
Develop retrieval-augmented generation 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 supporting AI development, evaluation, deployment, and monitoring.
Benchmark solution performance, identify bottlenecks, and improve 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 to technical and non-technical stakeholders and contribute to knowledge sharing.

Desired Qualifications

An advanced degree is preferred.

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

All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.

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Requirements at a Glance

Experience Level: Senior
Education: Bachelor's

Benefits

Medical and Prescription Drug: Comprehensive coverage through a choice of a Preferred Provider Organization (PPO) plan and Consumer Directed Health Plan (CDHP). The CDHP plan has a Health Savings Account (HSA) option. D&B contributes to the HSA each year.
Dental: Insurance including preventive care, basic care, major care and orthodontia
Vision: Coverage for routine eye exams and prescription lenses, frames and contact lenses
Health Care Accounts: Set aside before-tax dollars to pay for eligible health care expenses. You can choose a Healthcare Flexible Spending Account (FSA) or Health Savings Account (HSA).
Life Insurance: Company paid life insurance, as well as additional coverage including Basic, Supplemental, Spouse or Domestic Partner, and Child
Accidental Death & Dismemberment Insurance: Benefit that provides a payment if you suffer an accident that is fatal or dismembering
Business Travel Accident Insurance: Benefit that provides a payment if you are injured or die as a result of an accident while traveling on Company-approved business
Short-Term Disability (STD): Company provided benefit that offers you income protection for absence due to nonwork-related injury or illness
Long-Term Disability (LTD): Coverage that picks up when your STD ends. It provides income protection if you become totally disabled and are unable to work after 180 days of continuous disability.
Critical Illness Insurance: Insurance that is intended to supplement your medical and disability coverage. It provides a lump-sum benefit in the event you (or a covered family member) are diagnosed with a covered condition, such as cancer, heart attack, and more
Hospital Indemnity Insurance: Provides a lump-sum benefit to help you pay for costs in the event you (or a covered family member) are hospitalized.
Accident Insurance: Provides a lump-sum benefit to help you (or a covered family member) pay for costs for a covered injury and related services

About the Company

Dun & Bradstreet

Global business data and analytics platform

Dun & Bradstreet aggregates and analyzes business information to help organizations improve performance. Its Data Cloud holds data on hundreds of millions of businesses, which clients access through subscriptions to data and analytics platforms, plus one-time reports and data services. The product works by collecting and organizing commercial data such as credit reports, supplier risk, and marketing data, then delivering insights that support risk management, sales, and marketing decisions. Compared with competitors, Dun & Bradstreet emphasizes a large, integrated data and analytics platform that combines extensive business data with practical software tools and reports, enabling customers to act on findings across risk, marketing, and growth opportunities. The company’s goal is to help clients make informed decisions, reduce risk, and identify opportunities to grow their business.

Company size: 5,001-10,000
Company stage: IPO
Headquarters: Jacksonville, FL
Founded: 1840

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