Senior Applied AI Engineer – Gen & Agentic AI

Cpl Healthcare; Dublin; On-site; EUR 100,000 - 112,000; Full time

Benefits offered by this job

Annual bonus

Benefits package

Job summary

Cpl Healthcare seeks a Senior Applied AI Engineer to design, build, and operate production-grade agentic AI systems. You will work at the intersection of software engineering, agentic workflows, and applied GenAI, ensuring reliability and scalability.

Role involves implementing planning, tool use, memory, and human-in-the-loop controls, with strong focus on cost, latency, and system performance in a production environment.

Qualifications

• 6+ years of software engineering, applied ML, or applied AI.
• Strong Python development skills with solid software fundamentals.
• Proven experience building and deploying LLM-powered applications in production.

Responsibilities

• Design, build, and operate production-grade agentic AI systems end-to-end.
• Develop stateful and reliable agent workflows with memory and human-in-the-loop controls.
• Implement retrieval and grounding techniques like hybrid search and reranking.
• Build secure tool integrations and expose services for agent consumption.
• Apply ML evaluation and regression testing for releases.
• Implement LLMOps and AgentOps to monitor cost, latency, quality, and performance.
• Optimize AI systems for performance and cost across models/providers.
• Develop backend services (Python APIs, workflows, event-driven systems).
• Collaborate with data science, backend, and delivery teams to scale AI solutions.

Skills

6+ years experience

Python development

LLM-powered apps in production

LangChain / LlamaIndex / LangGraph

Vector databases

Agent design patterns (planning, tool-

Tools

AWS

Azure

GCP

Docker

CI/CD

Job description

Senior Applied AI Engineer – Generative & Agentic AI

• €100-112K + Bonus + Bens
• 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 GCP
• Comfortable working with Docker, CI/CD pipelines, and production environments
• Strong delivery mindset with a focus on building high-quality, reliable AI systems
• Must have Irish/EU Citizenship and be based within a commutable distance to Dublin