{"id":6001,"url":"https://alion.io/job/dnb-ai-software-engineer-ii-r-19524","title":"AI Software Engineer II (R-19524)","company":{"id":2406,"name":"Dun & Bradstreet","domain":"dnb.com","url":"https://alion.io/company/dnb","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":88,"open_postings":8,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":45,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dublin, Ireland"],"countries":["IE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Edge AI","optional":false},{"name":"FastAPI","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Google GKE","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LangSmith","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"TensorFlow","optional":false},{"name":"Terraform","optional":false},{"name":"Vertex AI","optional":false},{"name":"A2A","optional":true},{"name":"GraphRAG","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"Model Context Protocol","optional":true}],"status":"live","first_seen_at":"2026-06-29T09:53:01Z","employer_posted_date":"2026-06-29","last_verified_at":"2026-10-18T21:21:51Z","board_verified":true,"closed_at":null,"days_open":111,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":111},"description":"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).\nYou 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.\nWhat’s on Offer at D&B Ireland\n25 days annual leave (plus 2 paid volunteer days & 1 paid un-sick day)\nHoliday buy & sell (the option to buy or sell up to 5 additional days per year)\nFlexible working - hybrid model\nEmployee Health Insurance\nMental Health Support program\nPension Contribution\nFamily Friendly Leave (Maternity, Paternity, Parental, Marriage and Bereavement)\nLife Assurance\nEducational Assistance Program\nLife-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)\nAt Dun & Bradstreet, we are 6,000 friendly colleagues around the world waiting to meet you and give you the opportunity to grow your career.\nAs part of the RDI team, you will:\nDesign, implement, and optimize AI/GenAI systems including LLM-based applications, RAG pipelines, and agentic workflows.\nBuild and maintain microservices and APIs using Python and frameworks such as LangChain, LangGraph, and FastAPI.\nCollaborate with researchers and product teams to integrate novel AI capabilities into production systems.\nDevelop infrastructure for training and deploying agentic models at scale using GCP, Vertex AI, and container orchestration platforms.\nApply prompt engineering and evaluation techniques (e.g., LangSmith) to improve model performance and reliability.\nEnsure compliance with responsible AI standards, including system guardrails and ethical deployment practices.\nMentor junior engineers and contribute to reusable architectural patterns and best practices.\nAbout You:\nBachelor’s or Master’s degree in Computer Science, AI, or related field.\n8+ years of software engineering experience, with at least 3 years in AI/Generative/Agentic systems.\nStrong proficiency in Python and industry standard AI/ML frameworks (e.g., PyTorch, TensorFlow), LLM integration, and GenAI tooling.\nProven experience with cloud-native development, especially GCP and Vertex AI.\nFamiliarity with Kubernetes (GKE), Terraform, and CI/CD pipelines (GitHub Actions, Harness).\nStrong understanding of microservice architectures and scalable system design.\nExcellent debugging, testing, and problem-solving skills.\nEffective communicator and proactive collaborator.\nDesirable Experience:\nFamiliarity with multi-agent ecosystems, GraphRAG architecture, knowledge graphs, context-aware retrieval systems for multi-hop reasoning, semantic enrichment\nMCP (Model Context Protocol) and A2A","description_format":"text","description_chars":3160,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Annual leave","Flexible schedule","Health 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