6 of 6 Permanent Artificial Intelligence Engineering Jobs in Northern Ireland

AI Engineer – Agentic Systems & Automation – £70,000 – Fully remote in UK A fast-growing company at the forefront of engineering innovation and AI automation is seeking an experienced AI Engineer to help develop intelligent, scalable agentic systems integrated into modern software development lifecycles. This role involves leading the … design and deployment of LLM-powered agents, developer tools, and automation frameworks that streamline workflows and elevate productivity. This is a hands-on engineering role that blends software development, AI experimentation, and product innovation. The successful candidate will play a key role in architecting agent-based systems, leveraging … LlamaIndex to enhance developer workflows. Tooling & Assistant Innovation: Develop AI-powered assistants and developer tools with an emphasis on scalability, performance, and reliability. AI Engineering: Build, test, and optimize generative AI features using platforms such as OpenAI, Claude, and Gemini, including fine-tuned custom models and evaluation pipelines. More ❯

Data and Ai code scripts and make quality, performance, and efficiency recommendations. INDIVIDUAL RESPONSIBILITIES: Ability to independently analyse and solve complex data and AI engineering challenges. Stay updated on the latest Azure data and AI technologies and best practices. Proactively identify opportunities to enhance skills and knowledge. Effectively More ❯

Director of AI Engineering This is a rare opportunity to lead and scale a global AI Center of Excellence at the heart of a company focused on solving some of the world's most complex cybersecurity challenges. As Director, you'll lead the development of innovative AI solutions … vision and execution strategy for the AI Center of Excellence, ensuring scalable, secure, and impactful outcomes You will collaborate across functions including Product, Engineering, User Experience, Information Security, Legal and others to align AI work with company priorities You will lead end-to-end development of AI solutions … to production deployment Deep understanding of the AI/ML lifecycle, including model development, MLOps, experimentation, and monitoring Experience partnering closely with Product, Engineering, and executive leadership to shape strategy and influence outcomes Strong background in managing risk, prioritizing initiatives, and aligning technical work with business goals Excellent More ❯

edge AI and full-stack technologies. This role is at the heart of our technical execution, combining deep expertise in modern software development, AI engineering, and cloud architecture with a passion for pioneering technologies in the energy sector. This role demands a pragmatic and results-driven approach to … Skills & Experience: Candidate must have extensive experience as a full-stack developer, proficient in multiple languages and technologies, with a strong emphasis on AI engineering, while having less focus on robotics. Hands-on experience with advanced technologies like large language models (LLMs), computer vision, predictive analytics, and data More ❯

Azure AI SDKs (including azure-ai-projects, azure-ai-inference), and open-source frameworks like LangChain. Familiarity with traditional Azure AI services (e.g. Document Intelligence, Vision, Language, and Speech) is expected, alongside a developer-oriented mindset (code-first) and experience with integrating AI workloads into secure, scalable Azure environments. … Data and Ai code scripts and make quality, performance, and efficiency recommendations. INDIVIDUAL RESPONSIBILITIES: Ability to independently analyse and solve complex data and AI engineering challenges. Stay updated on the latest Azure data and AI technologies and best practices. Proactively identify opportunities to enhance skills and knowledge. Effectively More ❯

own AI startup or built early-stage AI products from scratch. About you You’ll draw on your experience in AI/ML Engineering to drive the design of the platform and tailor it to be most efficient for AI Agents, and have the following: Experience working in … run small technical teams, worked directly with product, clients, and stakeholders. Action bias - you ship, you solve, you build. A solid background in AI (Engineering rather than Research) Possess a deep understanding of reinforcement learning, distributed training and Agentic AI Not for you if: You’re more strategist More ❯