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AI Software Engineer II (R-19524)

dun bradstreet

Apply at dun bradstreetOpens the employer's own posting.
Where
Hybrid · Dublin - Ireland
Salary
not stated by the employer
Technologies
PythonGCPKubernetesTerraformMicroservices
Qualifications
University degree
First sniffed
23 Sept 2026 03:41 · open 25 days
Last verified
18 Oct 2026 03:31 · still on the employer's site
Source
Company careers system

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.

We are seeking a highly skilled AI Software Engineer to participate in the development of enterprise-grade AI and Generative AI solutions. This role blends deep software engineering expertise with cutting-edge AI/Generative/Agentic capabilities, focusing on building scalable, secure, and high-performance systems that leverage LLMs, agentic workflows, and retrieval-augmented generation (RAG).

You will collaborate across engineering, data science, and product teams to deliver innovative solutions that transform business operations and customer experiences. If you thrive in fast-paced environments, are passionate about AI, and have a track record of delivering impactful software, we want to hear from you.
What’s on Offer at D&B Ireland

- 25 days annual leave (plus 2 paid volunteer days & 1 paid un-sick day)

- Holiday buy & sell (the option to buy or sell up to 5 additional days per year)

- Flexible working - hybrid model

- Employee Health Insurance

- Mental Health Support program

- Pension Contribution

- Family Friendly Leave (Maternity, Paternity, Parental, Marriage and Bereavement)

- Life Assurance

- Educational Assistance Program

- Life-Style Account (D&B will match your contributions up to €40 per month and can be used to claim for a range of health-related, leisure or lifestyle activities)
At Dun & Bradstreet, we are 6,000 friendly colleagues around the world waiting to meet you and give you the opportunity to grow your career.
As part of the RDI team, you will:

- Design, implement, and optimize AI/GenAI systems including LLM-based applications, RAG pipelines, and agentic workflows.

- Build and maintain microservices and APIs using Python and frameworks such as LangChain, LangGraph, and FastAPI.

- Collaborate with researchers and product teams to integrate novel AI capabilities into production systems.

- Develop infrastructure for training and deploying agentic models at scale using GCP, Vertex AI, and container orchestration platforms.

- Apply prompt engineering and evaluation techniques (e.g., LangSmith) to improve model performance and reliability.

- Ensure compliance with responsible AI standards, including system guardrails and ethical deployment practices.

- Mentor junior engineers and contribute to reusable architectural patterns and best practices.
About You:

- Bachelor’s or Master’s degree in Computer Science, AI, or related field.

- 8+ years of software engineering experience, with at least 3 years in AI/Generative/Agentic systems.

- Strong proficiency in Python and industry standard AI/ML frameworks (e.g., PyTorch, TensorFlow), LLM integration, and GenAI tooling.

- Proven experience with cloud-native development, especially GCP and Vertex AI.

- Familiarity with Kubernetes (GKE), Terraform, and CI/CD pipelines (GitHub Actions, Harness).

- Strong understanding of microservice architectures and scalable system design.

- Excellent debugging, testing, and problem-solving skills.

- Effective communicator and proactive collaborator.
Desirable Experience:

- Familiarity with multi-agent ecosystems, GraphRAG architecture, knowledge graphs, context-aware retrieval systems for multi-hop reasoning, semantic enrichment

- MCP (Model Context Protocol) and A2A