Senior AI Engineer (Agentic Systems)
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At a glance
What you'll be doing
Senior AI Engineer (Hybrid, Dublin) sought to design, build, and operate production-grade agentic AI systems in a regulated environment. Role emphasizes hands-on engineering, system design, reliability, and delivery, with focus on agent workflows, orchestration, RAG pipelines, and API integrations.
- Design, build and operate agentic AI systems using Python
- Develop agent workflows with frameworks such as LangGraph or equivalent
- Design and implement context management strategies for multi-step and long-running agent executions
- Build and maintain RAG pipelines using various data sources
- Integrate AI systems with internal platforms via RESTful and event-driven APIs
- Define and implement orchestration patterns for agents, tools, and workflows
Key requirements
Must-have
- 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 and retrieval strategies
- Strong understanding of workflow orchestration concepts
- Strong systems design skills regarding scalability and failure modes
- Very good communication skills
Nice-to-have
- Experience with relational and NoSQL databases
- Experience with vector stores
Experience: Minimum 5 years as a software engineer
Role signals
- Technical focus
- AI systems, agentic workflows, orchestration, RAG pipelines, system integration
- Architecture / system design
- Indicated in the listing
- Hands-on vs management
- Hands-on
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Full job description
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Dublin – Hybrid
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Long Term Contract
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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.
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As an AI Engineer your main responsibilities will involve:
- Design, build and operate agentic AI systems using Python
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Hands-on development of agent workflows using frameworks such as LangGraph or equivalent stateful orchestration approaches
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Design and implementation of context management strategies across multi-step and long-running agent executions
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Build and maintain RAG pipelines leveraging structured, semi-structured and unstructured data sources
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Integrate AI systems with existing internal platforms via RESTful and event-driven APIs
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Define and implement orchestration patterns for agents, tools and workflows (sync, async, human-in-the-loop)
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Must have skills and experience:
- Minimum 5 years experience as a software engineer with strong Python skills
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Practical experience with LangGraph or other agentic workflow frameworks
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Deep understanding of context management and MCP-style tool protocols
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Experience with RAG architectures including embeddings, retrieval strategies etc.
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Strong understanding of workflow orchestration concepts (state, retries, idempotency)
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Strong systems design skills with an ability to reason about scalability and failure modes
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Very good communication skills with the ability to explain complex concepts simply
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Good to have skills and experience:
- Experience working with relational and NoSQL databases and vector stores
To apply or find out more contact shane.omahony@cpl.ie / 01-947 6301
#LI-SO3
#CplTechnology22
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