AI Engineer Location: Belfast, Northern Ireland Type: Full-time | Hybrid The Opportunity We're hiring an AI Engineer to design, develop, and deploy enterprise-grade AI solutions. You'll work at the intersection of advanced AI technologies and robust engineering practices, shaping systems that are scalable, secure, and compliant with modern standards. This role goes beyond model building - you'll be hands-on with Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and cloud-native architectures, while embedding best practice in AI governance, security, and performance. It's an opportunity to drive real-world adoption of AI, from proof-of-concept through to production-scale deployment. What You'll Do Design and build AI-driven applications using LLMs, RAG architectures, and modern vector databases Fine-tune, deploy, and integrate LLMs (OpenAI, Hugging Face, Anthropic, etc.) into enterprise platforms Implement safeguards to protect against data leaks, prompt injections, and adversarial attacks Develop APIs and pipelines for smooth AI deployment and integration across enterprise systems Work within .NET and cloud-native environments (Azure, AWS, GCP) to integrate AI into existing applications Ensure solutions meet compliance, governance, and ethical standards (e.g. GDPR, ISO 27001, EU AI Act) Optimise models for performance, scalability, and cost-effectiveness Collaborate with product, compliance, and security teams to align AI delivery with business outcomes Stay ahead of emerging AI ethics, regulation, and observability trends Conduct risk assessments and build robust monitoring into deployed solutions What You'll Bring Hands-on experience building and deploying AI/ML models in production Strong background with RAG pipelines and vector search tools (FAISS, Pinecone, Weaviate) Expertise in LLMs and NLP - tuning, integrating, and securing models Proficiency in Python and/or C#, with strong programming and integration skills Knowledge of .NET environments and Microsoft-based infrastructure Cloud engineering experience (Azure, AWS, or GCP) with MLOps best practices Strong understanding of data privacy, encryption, and AI security Familiarity with modern APIs, microservices, and CI/CD pipelines Nice to Have: Experience in finance, healthcare, legal, or other regulated domains Knowledge of AI ethics frameworks (EU AI Act, NIST AI Risk) MLOps / AIOps / AI observability tooling Certifications in AI governance, cloud security, or compliance Why Join? Competitive salary 30 days' annual leave (increasing to 35 over time) Employer pension contributions Employee benefits programme (after probation) Hybrid working model with flexibility Training budget for professional development This is a unique opportunity to shape enterprise AI strategy in a fast-growing, forward-thinking company. You'll take ownership of building solutions that are both technically robust and business-critical. Reach out to Ryan Quinn on LinkedIn for more info, or apply directly with your CV. OCHO - Building Teams Skills: AI .Net Azure