Senior Applied AI Engineer – Generative & Agentic AI

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
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