Senior AI Engineer (Cork, Ireland)

Responsibilities

• Design, prototype, and productionise AI systems including LLM-based agents, retrieval-augmented generation (RAG)pipelinesand AI-driven workflows.
• Integrate and orchestrate LLMs (e.g. OpenAI, Anthropic, or custom fine-tuned models) using frameworks such asLangGraph,PydanticAIand Model Context Protocol (MCP).
• Build AI evaluation and feedback loops to ensure high-quality, reliable model behaviour in production.
• Collaborate with software engineers and product managers to integrate AI features into user-facing products with strong monitoring, resilience, and measurable user value.
• Experiment, measure, and iterate from prompt design and model selection to API optimization, latency, and cost trade-offs.
• Contribute to AI platform infrastructure: data pipelines, embedding, vector stores, modeldeploymentand observability.
• Stay current with AI research and apply emerging techniques that improve reasoning, grounding, and reliability in multi-agent systems.
• Take a hands-on approach to shipping high-quality code incrementally, we value learning through iteration over aiming for perfection upfront.
• Participate in code reviews and architecture discussions to ensure technical excellence and knowledge sharing.
• Work closely with the Product team to shape features that are valuable,feasible, and grounded inusersneeds.
• Assistand mentor junior team members.
• Strong experience (5+ years) in Python and backend systems, ideally within a SaaS or data-rich product environment.
• Deep understanding of LLM-based systems, including prompt engineering, retrieval augmentation,evaluation and model integration.
• Hands-on experience with AI orchestration frameworks (LangChain,LangGraph,PydanticAIor similar).
• Familiarity with ML pipeline tooling and deployment an advantage (e.g., vector databases, embeddings, Docker, AWS ECS,Pulumietc.)
• Strong software engineering practices like version control, CI/CD, observability, and testing of AI-enabled systems.
• Awareness of LLMOps best practices, from managing API costs to monitoring model drift and user satisfaction.
• A product mindset: balancing experimentation with delivering business value to users.
• Curiosity and initiative you’re motivated by discovery, iteration and seeing ideas reach production.
• Collaborative spirit and excellent communication, your comfortable working across disciplines (Engineering, Product, Design, and Data Science).
• You thrive in an environment of mutual respect, openness and collaboration. You enjoy getting things done at a quick pace.
• Competitive salary with a Series B backed,fast growing organisation.
• Pension 7.5%
• Health Insurance
• 25 days PTO increasing to 26 after 3 years and increasing to 27 after 5 years.Plus a day off for your birthday.
• Flexible working hours with a positive approach to work - life balance.
• An inclusive, collaborative, innovative culture.
• Generous leave offerings including 2 CSR days.
• Technology that enables you to perform to your best