Senior AI Engineer (Agentic AI)

Dublin

Data Engineering

Permanent

Our client, a global data and AI organisation, are hiring a Senior AI Engineer to join their growing team in Dublin. The successful candidate will design, build, and ship production AI systems within a fast-moving AI innovation team alongside data scientists, backend engineers, and delivery leads.

Responsibilities

Build production-grade AI agent systems end to end, from design to deployment to ongoing support.
Design agentic workflows with checkpoints, approvals, safe retries and human-in-the-loop steps.
Architect agents that plan, use tools, manage memory and escalate when needed.
Build retrieval systems using vector search, reranking, and context assembly for grounded responses.
Create evaluation frameworks: offline test sets, regression gates, and live monitoring.
Instrument full observability across agent runs, including cost, latency, and failure tracking.
Build backend services in Python (FastAPI), working with Postgres, event-driven patterns and production APIs.
Deploy using Docker, Kubernetes and CI/CD pipelines.
Collaborate across teams to turn business problems into working AI solutions.

Skillset

Minimum of 4 years in software engineering, applied ML or applied AI.
Strong Python skills with solid engineering practices (testing, code review, version control).
Experience building LLM-powered applications in production.
Hands-on experience with agentic frameworks (e.g. LangChain, LangGraph, CrewAI, LlamaIndex).
Experience with vector databases and retrieval systems (e.g. Pinecone, Weaviate, FAISS, Chroma).
Understanding of agent patterns e.g. ReAct, multi-agent systems, tool use, planning.
Cloud deployment experience on AWS, Azure or GCP.
Production mindset with experience in monitoring, governance, automated testing, operational readiness.
Familiarity with agentic coding tools (Cursor, Claude Code, GitHub Copilot).