Senior AI Engineer (Agentic Systems)

Cpl; Dublin; Hybrid; EUR 111,000 - 185,000; Full time

Job summary

CPL in Dublin is seeking a senior AI Engineer to design, build and operate agentic AI systems within the Risk Technology group. You will own system design, reliability and delivery, working hands-on with Python and workflows like LangGraph to manage multi-step agent executions and RAG pipelines.

The role is hybrid in Dublin with a long-term contract and a daily rate. You will collaborate across platforms, integrate APIs, and ensure scalable, reliable AI-driven workflows in a regulated

Qualifications

• Minimum 5 years experience as a software engineer with strong Python skills.
• Practical experience with LangGraph or other agentic workflow frameworks.
• Deep understanding of context management and MCP-style tool protocols.
• Experience with RAG architectures including embeddings, retrieval strategies etc.
• Strong understanding of workflow orchestration concepts (state, retries, idempotency).
• Strong systems design skills with an ability to reason about scalability and failure modes.
• Very good communication skills with the ability to explain complex concepts simply.

Responsibilities

• Design, build and operate agentic AI systems using Python.
• Hands-on development of agent workflows using frameworks such as LangGraph or equivalent stateful orchestration approaches.
• Design and implementation of context management strategies across multi-step and long-running agent executions.
• Build and maintain RAG pipelines leveraging structured, semi-structured and unstructured data sources.
• Integrate AI systems with existing internal platforms via RESTful and event-driven APIs.
• Define and implement orchestration patterns for agents, tools and workflows (sync, async, human-in-the-loop).

Skills

Python

LangGraph

Agentic workflows

Context management

RAG architectures

Orchestration concepts

Systems design

Communication skills

Tools

RESTful APIs

Event-driven

Vector stores

Job description

• Dublin - Hybrid


• Long Term Contract


• Daily Rate

We are looking for a senior AI Engineer to work within the Risk Technology organisation. The role focuses on building and operating production-grade agentic systems that support mission-critical workflows in a highly regulated environment. This is a hands-on engineering role with strong ownership of system design, reliability and delivery.

As an AI Engineer your main responsibilities will involve:

• Design, build and operate agentic AI systems using Python


• Hands-on development of agent workflows using frameworks such as LangGraph or equivalent stateful orchestration approaches


• Design and implementation of context management strategies across multi-step and long-running agent executions


• Build and maintain RAG pipelines leveraging structured, semi-structured and unstructured data sources


• Integrate AI systems with existing internal platforms via RESTful and event-driven APIs


• Define and implement orchestration patterns for agents, tools and workflows (sync, async, human-in-the-loop)

Must have skills and experience:

• Minimum 5 years experience as a software engineer with strong Python skills


• Practical experience with LangGraph or other agentic workflow frameworks


• Deep understanding of context management and MCP-style tool protocols


• Experience with RAG architectures including embeddings, retrieval strategies etc.


• Strong understanding of workflow orchestration concepts (state, retries, idempotency)


• Strong systems design skills with an ability to reason about scalability and failure modes


• Very good communication skills with the ability to explain complex concepts simply

Good to have skills and experience:

• Experience working with relational and NoSQL databases and vector stores


• Experience with integrations using async messaging (pub-sub events and queues)