Senior Applied AI Engineer – Gen & Agentic AI

Cpl; Dublin; On-site; EUR 120,000 - 150,000; Full time

Job summary

Cpl is seeking a Senior Applied AI Engineer to design, build, and operate production-grade agentic AI systems in a global R&D environment. The role emphasizes reliability, scalability, and end-to-end delivery of real-world AI products across tool integrations, memory, and planning components.

You will collaborate with data science, backend, and delivery teams to deploy scalable AI solutions and drive continuous AI innovation within a production setting.

Qualifications

• ,

Responsibilities

• Design, build, and operate production-grade AI systems end-to-end
• Develop stateful agent workflows with planning, tool use, memory, and human-in-the-loop controls
• Implement advanced retrieval and grounding techniques such as hybrid search and contextual assembly
• Build secure tool integrations and expose services for agent consumption
• Apply engineering discipline to AI evaluation with regression tests, metrics, and release gates
• Implement LLMOps and AgentOps to monitor cost, latency, quality, and performance
• Optimize AI systems for performance, reliability, and cost across models/providers
• Build and operate backend services, Python APIs, workflow orchestration, event-driven systems
• Collaborate with data science, backend, and delivery teams to scale AI solutions
• Contribute to reusable components and technical documentation
• Ongoing AI innovation initiatives and governance
• Must have minimum stamp 4/1G Spousal and be within commutable distance to Dublin

Skills

Python

LLM apps

Agentic frameworks

Retrieval systems

Agent design patterns

Cloud platforms

Docker/CI-CD

Production systems

Commuting to Dublin

Tools

Docker

CI/CD

Job description

Senior Applied AI Engineer – Generative & Agentic AI

• An exciting opportunity for a Senior Applied AI Engineer to join a global AI Innovation and R&D team focused on building production-ready Generative and Agentic AI systems.
• This is a hands-on engineering role suited to someone who enjoys delivering real-world AI products and working at the intersection of software engineering, agentic workflows, and applied GenAI.

The Role

You will design, build, and operate advanced AI systems end-to-end, with a strong focus on reliability, scalability, and production readiness.

• Design, build, and own production-grade agentic AI systems end-to-end
• Develop stateful and reliable agent workflows, including planning, tool usage, memory, and human-in-the-loop controls
• Implement advanced retrieval and grounding techniques such as hybrid search, reranking, and contextual assembly
• Build secure tool integrations and expose internal and external services for agent consumption
• Treat AI evaluation as an engineering discipline using regression testing, metrics, and release gates
• Implement LLMOps and AgentOps practices to monitor cost, latency, quality, and system performance
• Optimise AI systems for performance, reliability, and cost efficiency across models and providers
• Build and operate backend services, including Python APIs, workflow orchestration, and event-driven systems
• Collaborate with data science, backend, and delivery teams to deliver scalable AI solutions
• Contribute to reusable components, technical documentation, and ongoing AI innovation initiatives

Experience & Skills

• 6+ years of experience in software engineering, applied machine learning, or applied AI
• Strong Python development skills with solid software engineering fundamentals
• Proven experience building and deploying LLM-powered applications in production
• Hands-on experience with agentic frameworks such as LangChain, LlamaIndex, LangGraph, CrewAI, or similar
• Strong understanding of retrieval systems and vector databases
• Familiarity with agent design patterns including planning, tool use, ReAct, and multi-agent systems
• Experience deploying and operating production systems on cloud platforms such as AWS, Azure, or GCPComfortable working with Docker, CI/CD pipelines, and production environments
• Strong delivery mindset with a focus on building high-quality, reliable AI systems
• Must have minimum stamp 4/1G Spousal and be based within a commutable distance to Dublin