AI Software Engineer 2

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