Dnb6mo ago

AI Software Engineer II (R-18544)

DublinEmployee: Full Timemid

Data ScienceOtherSoftware EngineerAi Software EngineerSoftware Engineering

1 views0 saves0 applied

Apply Now

Quick Summary

Overview

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.

Technical Tools

fastapigcpgithub-actionskuberneteslangchainpythonpytorchtensorflowterraformci-cdmicroservicessystem-design

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. For over 180 years, 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.

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.

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.

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.

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