Senior AI Engineer - Agentic Systems (Hybrid, Dublin)

Cpl Group; Dublin; Hybrid; EUR 90,000 - 140,000; Full time

Job summary

Cpl Group in Ireland is seeking a senior AI Engineer to design, build and operate production-grade agentic AI systems within a highly regulated environment. The role is hybrid in Dublin and involves ownership of system design, reliability and delivery.

You will implement agent workflows using Python and LangGraph or similar frameworks, develop context management strategies, and build RAG pipelines over diverse data sources.

Qualifications

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

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 programming

Agentic workflows

Systems design

Communication

Problem solving

Tools

LangGraph

Job description

Cpl Group in Ireland is seeking a senior AI Engineer to design, build and operate production-grade agentic AI systems within a highly regulated environment. The role is hybrid in Dublin and involves ownership of system design, reliability and delivery.

You will implement agent workflows using Python and LangGraph or similar frameworks, develop context management strategies, and build RAG pipelines over diverse data sources.