AI Engineering Jobs in Ireland
There are 112 open AI Engineering jobs in Ireland on freehire right now. 17 of them were posted recently. The skills employers ask for most often are ai, llm and python.
Most requested skills
- ai 96%
- llm 67%
- python 67%
- machine-learning 60%
- agentic-ai 58%
- cloud 55%
- api 51%
- generative-ai 46%
How the work is done
- Hybrid 27 · 24%
- Remote 12 · 11%
- Onsite 5 · 4%
Visa sponsorship offered in 71% of the 17 postings that state a position on it.
Seniority
- Senior 53
- Lead 7
- Staff 5
- Intern 3
- Middle 3
- C-level 2
Who is hiring
- 1000+ employees 42
- 501-1000 employees 6
- 11-50 employees 3
- 51-200 employees 3
- 201-500 employees 1
Senior Software Engineer, Forward Deployed AI Engineer
Build and apply generative-AI tools to modernize legacy enterprise apps for MongoDB customers, then feed insights back to R&D to shape the product roadmap.
LLM Application Engineer
Build and optimize LLM-powered applications, design agent workflows, and implement evaluation frameworks for production systems.
LLM Application Engineer
Build and ship LLM-powered AI agent workflows that orchestrate multi-step tasks, integrate tools, and turn probabilistic model outputs into reliable user experiences.
Senior AI Software Engineer
Build full-stack AI applications that integrate generative AI, RAG, and agentic workflows using .NET, Python, Blazor, and React, delivering secure, scalable enterprise solutions.
GenAI-Driven Cloud & Data Architect
Designs scalable, secure cloud and data architectures for GenAI, LLMs, and AI-driven analytics on AWS, balancing governance, cost, and enterprise needs.
GenAI Forward Deployed Engineer – Cloud AI, Equity & Bonus
Builds production-grade AI workflows for enterprise customers using Gemini models and Vertex AI, embedding with clients to solve integration and data challenges.
GenAI Architect & AI Strategy Manager - Dublin
Architect and deploy enterprise GenAI solutions for financial services clients, leading multi-agent orchestration and mentoring teams while bridging AI strategy with implementation.
Senior AI Research Engineer
Build and scale AI infrastructure for industrial automation, bridging research and production with MLOps and distributed systems.
Graduate AI Engineer (Hybrid) — Industrial ML & Gen AI
Build, test, and deploy ML and generative AI solutions for manufacturing, focusing on quality, predictive maintenance, and production planning with mentorship.
Lead AI Architect & GenAI Engineering for Enterprise
Lead AI architect designs enterprise-grade GenAI and autonomous agents, sets standards, and delivers scalable AI solutions on AWS/Azure/GCP while advising executives.
Applied AI / ML Lead Software Engineer â Employee Platforms
Lead the design and delivery of LLM-powered and agentic AI workflows for JPMorganChase’s internal employee platforms, integrating AI safely into enterprise systems while ensuring reliability and compliance.
AI Engineer: Production-Ready ML & Data Pipelines
Build and deploy production-grade AI systems and data pipelines, collaborating with engineers and product teams to scale ML models from experimentation to enterprise use.
Senior AI Engineer for Enterprise LLM & Orchestration
Build and deploy enterprise LLM features, agentic workflows, and RAG systems within Workday’s product ecosystem using data engineering stacks.
Automation & AI Engineer
Builds self-healing automations and tunes an IT virtual assistant in Nexthink to reduce support tickets and improve digital employee experience using PowerShell, Python, and Microsoft Graph API.
Senior AI Engineer
Build and deploy AI-first contract intelligence features using LLMs, RAG, and agentic workflows to automate document review and accelerate deal-making for enterprise customers.
Quality Data & AI Engineer
Design and deploy AI, ML, and computer vision systems to automate quality control and process optimization in automotive manufacturing, using Python, GCP, and generative AI tools.
Applied AI Engineer
Build and ship end-to-end AI features that turn model capabilities into reliable, real-world user workflows using Python, PyTorch/JAX, and vector DBs.