Senior AI Engineer (Agentic Systems)

CPL · Recruitment agency
ContractAIDublin, Ireland · Remote within Ireland · Hybrid
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At a glance

Employment type
Contract
Workplace
Hybrid
Category
AI

Technologies & skills

Primary technologies

What you'll be doing

Senior AI Engineer (Hybrid, Dublin) for a global financial institution's Risk Technology team. Hands-on role building and operating production-grade agentic AI systems, focusing on orchestration, data pipelines, integrations, and scalable, reliable solutions in a regulated environment.

  • Design, build and operate agentic AI systems using Python
  • Develop agent workflows using frameworks such as LangGraph or similar
  • Implement context management strategies for multi-step and long-running workflows
  • Build and maintain RAG pipelines across structured and unstructured data
  • Integrate AI systems with internal platforms via APIs and event-driven approaches
  • Define orchestration patterns across agents and workflows, including async and human-in-the-loop models

Key requirements

Must-have

  • 5+ years’ experience in software engineering with strong Python skills
  • Experience working with agentic frameworks (e.g. LangGraph or similar)
  • Strong understanding of context management and orchestration concepts
  • Experience with RAG architectures, including embeddings and retrieval strategies
  • Solid grasp of workflow design (state, retries, idempotency)
  • Strong system design skills, particularly around scalability and reliability
  • Good communication skills and the ability to explain technical concepts clearly

Nice-to-have

  • Experience with relational/NoSQL databases and vector stores
  • Exposure to event-driven systems (pub/sub, messaging, queues)

Experience: 5+ years’ experience in software engineering

Role signals

Technical focus
AI systems, agentic architectures, orchestration, RAG pipelines
Architecture / system design
Indicated in the listing
Hands-on vs management
Hands-on

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Full job description

Dublin (Hybrid) | Long-term Contract

We’re working with a global financial institution to hire a Senior AI Engineer into their Risk Technology team. This is a hands-on role focused on building and running production-grade agentic systems that support critical workflows in a regulated environment.

It’s a good fit for someone who enjoys owning systems end-to-end, from design through to delivery and ongoing reliability, and who’s interested in applying modern AI patterns in a real-world, high-impact setting.

The Role

You’ll be designing and developing agent-based systems, working across orchestration, data pipelines, and integrations with existing platforms. There’s a strong focus on building scalable, reliable solutions and contributing to how agentic architectures are implemented across the organisation.

Key Responsibilities

  • Design, build and operate agentic AI systems using Python
  • Develop agent workflows using frameworks such as LangGraph or similar
  • Implement context management strategies for multi-step and long-running workflows
  • Build and maintain RAG pipelines across structured and unstructured data
  • Integrate AI systems with internal platforms via APIs and event-driven approaches
  • Define orchestration patterns across agents and workflows, including async and human-in-the-loop models

Key Requirements

  • 5+ years’ experience in software engineering with strong Python skills
  • Experience working with agentic frameworks (e.g. LangGraph or similar)
  • Strong understanding of context management and orchestration concepts
  • Experience with RAG architectures, including embeddings and retrieval strategies
  • Solid grasp of workflow design (state, retries, idempotency)
  • Strong system design skills, particularly around scalability and reliability
  • Good communication skills and the ability to explain technical concepts clearly

Nice to Have

  • Experience with relational/NoSQL databases and vector stores
  • Exposure to event-driven systems (pub/sub, messaging, queues)
    If you’re interested apply now, or contact Alex Leonard at alex.leonard@cpl.ie

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Apply NowApply before: 9 Oct 2026