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Senior applied ai engineer – generative & agentic ai

Dublin
Cpl Solutions
Ai engineer
Posted: 20min ago
Offer 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 for someone who enjoys shipping real AI products and working at the intersection of software engineering, agentic workflows, and applied GenAI.
The Role

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 (hybrid search, reranking, 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 instrumentation to monitor cost, latency, quality, and system failures
Optimize AI systems for performance, reliability, and cost efficiency across models and providers
Build and operate backend services (Python APIs, workflow orchestration, event‑driven systems)
Collaborate with data science, backend, and delivery teams to ship scalable AI solutions
Contribute to reusable components, technical documentation, and applied AI innovation initiatives

Experience & Skills

5+ years of experience in software engineering, applied ML, or applied AI
Strong Python development skills with solid software engineering fundamentals
Hands‑on experience building and deploying LLM‑powered applications in production
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 production systems on cloud platforms (AWS, Azure, or GCP)
Comfortable working with Docker, CI/CD pipelines, and production operations
Strong delivery mindset with the ability to ship high‑quality AI systems


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