Why this role stands out
Accelerate your career at a global industry leader where you will build cutting-edge generative AI solutions that directly shape the future of enterprise data and business decisioning. This hybrid role is perfect for a collaborative, high-impact engineer eager to master agentic workflows and LLM-driven systems within a supportive, innovative team culture. Apply today to leverage your technical expertise and make a lasting impact on a global scale.
Quick overview
Job description
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)
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
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