AI Software Engineer II (R-19524)

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