Senior AI Engineer

Senior AI Engineer (Applied AI / LLMs / Product Platform)
Location: Belfast or Remote (UK-based)
Type: Permanent | Hybrid Belfast or Fully Remote (UK)
Salary: Competitive base + extended benefits package

The Opportunity

This is a rare chance to help shape how AI and Generative AI are embedded into a large, complex, real-world engineering platform - not as experiments or demos, but as core product capabilities used by global manufacturers.

You'll join a global technology company whose platform simulates real manufacturing processes (digital twins, virtual factories, cost and design optimisation) for customers like major aerospace and industrial firms. The business has completed its cloud transformation and is now building the next layer: production-grade AI and LLM-driven intelligence directly inside the product.

This is not a data science or research role. It is a senior, hands-on AI engineering position focused on building robust, scalable AI systems that ship to customers and run reliably in production.

What You'll Be Doing

You will own the design and delivery of AI features across the full lifecycle:

• Designing and building LLM-powered and ML-driven product features (copilots, recommendations, intelligent search, automated reasoning, optimisation, etc.)

• Architecting RAG pipelines, agent workflows, and AI services that integrate deeply with a large cloud platform

• Taking models from prototype to hardened production systems with proper CI/CD, monitoring, cost controls, and performance tuning

• Working with AWS Bedrock, SageMaker and/or GCP Vertex AI to deploy and operate models at scale

• Partnering with Product, Platform and Data Engineering to ensure AI is embedded cleanly into core services, not bolted on

• Influencing the technical direction of the company's AI roadmap, tooling choices, and engineering standards

What You'll Bring

This role is aimed at senior, product-minded AI engineers who enjoy ownership and complexity:

• 6-10+ years in software, ML, or AI engineering roles, with recent hands-on delivery of production AI systems

• Strong Python and cloud engineering background

• Real experience shipping LLM / GenAI systems (RAG, agents, orchestration, embeddings, model serving)

• Exposure to platforms such as AWS (SageMaker, Bedrock), GCP (Vertex AI), or similar

• Solid MLOps / LLMOps understanding - versioning, CI/CD, observability, reliability, and cost management

• Comfortable operating as a senior individual contributor who designs systems, not just implements tickets

• Enjoys working close to product and solving messy, real-world problems rather than polished research tasks

Why This One Is Different

• You are building AI inside a mission-critical industrial platform, not a chatbot wrapper

• You will influence architecture and standards, not just consume them

• You will work on problems where correctness, robustness, and scalability genuinely matter

• You get the freedom of a senior IC role with the stability of an established global tech company

• Flexible working: Belfast hub or fully remote across the U

How They Work

The main engineering hub is in Belfast, but the team works flexibly across the UK. What matters most is clear communication, ownership, and a shared interest in using AI to solve real-world problems.

How to Apply

To apply for this role, submit your CV via the application form provided. Alternatively, to speak in absolute confidence about this opportunity, please contact Jack Tyrrell via j.tyrrell@mcsgroup.jobs

Disclaimer

If you have a disability which means you require assistance at any stage of the recruitment process, please contact us directly to discuss. We are committed to providing equality of opportunity to all.

Please note, we are receiving an exceptionally high number of applications at present and will be unable to shortlist candidates who are not meeting the specific requirements for this role. Due to the high volume of applications, we may be unable to provide individual feedback. We thank you in advance for your understanding.