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Senior AI Engineer

United Kingdom, Belfast · Job Posted January 24, 2026
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Job Description

Join our Digital & Data team working alongside product, design and a wide range of other experts and cross-disciplinary teams to bring ideas to life through innovative software solutions. Grow a flexible and unique career within a trust-based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn’t align with what you want to do. Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same. Join other experts within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring. Deepen your expertise through our culture of learning and growth.

Job Responsibility

  • Work to agile best practices and cross-functionally with multiple teams and stakeholders
  • Using technical skills to problem solve with our clients
  • Working on internal projects
  • Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic
  • Building retrieval-augmented generation (RAG) prototypes with vector stores and knowledge graphs
  • Developing and testing agentic architectures through our own Genie Platform
  • Exploring LLMOps, evaluation tools, and model observability platforms like TruLens and LangSmith
  • Deploying solutions on modern cloud and DevOps environments (AWS, Azure, GCP)

Requirements

  • Software engineers with a passion for AI – or data scientists who’ve embraced engineering
  • People who experiment, prototype, and explore emerging AI tools in their own time
  • Strong foundation in a language suited to AI system development and data workflows
  • Experience integrating models with APIs, data sources, or production systems
  • Curiosity about LLMs, RAG pipelines (Graph & Vector based), and agent frameworks
  • Understanding of cloud-native (AWS / GCP / Azure) and DevOps / DevSecOps practices
  • A collaborative mindset and willingness to share, learn, and teach
  • Understanding of prompt and context engineering and model evaluation
  • Solid grasp of distributed systems, microservices, and RESTful APIs
  • An understanding of LLMOps tools for managing GenAI workflows
  • Must meet UK residency requirements for security clearance (British citizen or resident in the UK for the past 5 years)

What we offer

  • Health and lifestyle perks accompanying private healthcare for you and your family
  • 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days
  • Generous company pension scheme
  • Opportunity to get involved with community and charity-based initiatives
  • Annual performance-based bonus
  • PA share ownership
  • Tax efficient benefits (cycle to work, give as you earn)
  • Budget to take courses (technical and non-technical training) and gain certifications

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