Artificial Intelligence Engineer

Mid-Level AI Engineer (LLMs & Agentic AI)

Location: Belfast (Hybrid, 2-days a week in office)

The Role

Join a high-impact AI/ML team building production-grade AI systems using Large Language Models, Retrieval-Augmented Generation (RAG), and agent-based frameworks. You’ll contribute to intelligent workflows that transform large volumes of unstructured data into insights used by analysts and customers in real time.

This is a hands-on role suited to an engineer who enjoys building, shipping, and improving ML systems in production, while learning from senior engineers and contributing to technical decisions.

What You’ll Do

• Build and iterate on LLM-powered features for reasoning, orchestration, and decision-making
• Implement agent-based workflows using modern frameworks (e.g. Lang Chain, Lang Graph)
• Develop and maintain RAG pipelines, vector search, and semantic retrieval components
• Contribute to the development of production ML services and APIs
• Support deployment, monitoring, evaluation, and optimisation of models (accuracy, latency, cost)
• Collaborate closely with product managers, analysts, and senior engineers to deliver real-world outcomes

What You Bring

• Solid Python experience and exposure to production ML systems (PyTorch or Tensor Flow)
• Practical experience working with LLMs, including prompt design and experimentation
• Good understanding of RAG concepts, embeddings, and vector databases
• Familiarity with MLOps / LLMOps practices such as monitoring, evaluation, and CI/CD for ML
• Working knowledge of distributed systems, APIs, and cloud-based services
• Experience with containerisation and cloud infrastructure (Docker, AWS or similar)
• Interest in large-scale unstructured data; experience in security, intelligence, or OSINT is a bonus but not required
• Hybrid working model (Belfast-based office + remote)
• Modern AI-first engineering stack with a strong focus on production quality
• Supportive team environment with clear progression toward senior-level responsibility

Working Pattern

Hybrid: 2 days per week in the Belfast office, 3 days remote

Package

• Bonus
• Private medical cover for you and your family
• Very flexible working environment

If you want to work on real-world AI systems with genuine impact, we’d love to hear from you. Apply with your CV to learn more.