AI Engineer (R-20123)

AI Engineer

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!

Placement Program Overview:

The Dun & Bradstreet Placement Program runs in line with the university placement duration. #TeamDNB placements will be introduced to our winning culture through hands-on learning experiences and exposure to real business projects. The program will offer various engagement and career development opportunities, including meetings with our Executive Leaders, Networking Socials, and Community Volunteer Events.

Technology Internship:

We have exciting opportunities available for 2027 Placements on our Technology team at Dun & Bradstreet! We are seeking self-motivated individuals who are passionately curious about the intersection of technology and data. Students will be exposed to a broad range of technology processes, infrastructure, and applications and they will gain valuable insight into a technology-driven business. Ideal candidates should have a strong technical aptitude and be willing to learn new skills quickly.

We place Technology students across a variety of functional areas which are subject to change based on business need. By submitting your application, you will be considered for all available placement positions in Technology. Our recruitment team will work to identify the best fit while keeping your interests in mind.

• Currently enrolled in a four-year accredited degree program and be eligible to return to the program upon completion of the placement; select roles open to Masters candidates

• Currently pursuing a degree in Computer Science, AI, Software Engineering, or related technical field

• Strong Python, with experience of core programming skills, data structures, functions, classes, data and machine learning libraries.

• Experience of engineering practices and communication. Familiar with Git, version control workflows, and reproducible experiments (notebooks, environment management)

• Experience with LLMs and agentic skills. Can call LLM APIs, write effective prompts, and build a simple tool-using or retrieval-augmented (RAG) agent, with a basic understanding of LLM limitations such as context windows and hallucination

• Strong analytical skills using tools such as Excel, Power BI

Dun & Bradstreet is based in Sandyford, Dublin, operating a hybrid work model - In office 2 days (Tuesday, Wednesday or Thursday) and work from home 3 days (including Monday and Friday).

2027 Placement candidates for our Technology team should have the ability to work in our Dublin office location.

Dun & Bradstreet can only consider 2027 Placement candidates who are permanently eligible to work in Ireland.