Senior AI Engineer (Agentic Systems)
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At a glance
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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