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 minimum stamp 1G Spousal/Stamp 4 Visa and be based within a commutable distance to Dublin
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