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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** B&H Worldwide Ltd - **Location:** Hounslow, UK - **Salary:** £44,653.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software Quality, Computer Programming, Information Engineering, Python (Programming Language), Machine Learning, OpenAI, Microsoft Copilot, Google Cloud, Chatbots, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Llamaindex, Generative AI, Build Management, AI Platforms, Kubernetes, Information Technology, Azure AI, Software Version Control, GXP - **Published:** October 10, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5921902467 ## About the Role * Degree calibre or equivalent in Computer Science, Data Science, Engineering, Mathematics or a related field * Proven years' experience in software or data engineering, including recent (last 12 months) hands-on delivery of LLM-based / generative AI solutions * Relevant cloud or AI certifications desirable (e.g. Azure AI Engineer Associate, AWS Certified Machine Learning - Specialty) * Experience contributing to technical architecture and vendor decisions, ideally within logistics, supply chain or a similar fast-paced sector * Comfortable taking ownership of AI delivery, with the confidence to exercise judgement and escalate where needed * Hands-on experience building LLM applications such as RAG pipelines, document processing, copilots or conversational AI * Practical experience with LLM APIs and platforms (e.g. OpenAI, Azure OpenAI, Anthropic) and orchestration frameworks (e.g. LangChain, LlamaIndex) * Experience with vector databases and retrieval architectures * Strong programming skills in Python, with the ability to design and build production-grade applications * Experience with cloud platforms (e.g. Azure, AWS, GCP) and their AI services * Sound understanding of prompt engineering and techniques to improve LLM output quality and reliability * Good architecture and vendor evaluation judgement, with the ability to make well-reasoned build-vs-buy recommendations * Excellent problem-solving skills, with the ability to translate business problems into technical solutions * Excellent communicator, able to explain technical concepts to non-technical stakeholders * Self-motivated with the ability to work under continuous pressure and meet defined deadlines, Proven hands-on problem-solving and delivery mindset Professional, fair, works well in a team, and respects others Curious, with a willingness to learn and experiment with new technologies Resilient and able to work under pressure Comfortable exercising sound technical judgement, escalating complex decisions where appropriate Continuous improver, fast-learner, accountable and decisive ## Description Act as the Company's hands-on technical owner for AI and large language model (LLM) based solutions, designing, building and deploying practical applications - such as retrieval-augmented generation (RAG), document processing and copilot-style tools - that improve operational efficiency, customer experience and decision-making. As the Company's primary technical owner of AI/LLM delivery, provide input and judgement on architecture, vendor selection and implementation approach, working closely with the Head of IT and business stakeholders to prioritise and deliver high-value use cases, escalating major decisions as needed. Thereby helping the Company build practical, well-engineered AI capability that supports its ambitious growth plans., * Provide technical input to the Head of IT on near-term AI/LLM priorities and use cases, translating business needs into a practical, deliverable plan of work. LLM Application Engineering * Design, build and deploy LLM-based applications, including retrieval-augmented generation (RAG), document processing and copilot-style tools * Build and maintain retrieval pipelines, integrating vector databases and knowledge sources to ground LLM outputs in Company data * Integrate AI/LLM solutions with existing systems, platforms and workflows via APIs * Evaluate and select appropriate LLM providers, frameworks and vendor platforms for each use case * Prototype and rapidly test new AI capabilities to assess their applicability to the business Intelligent Automation & Business Solutions * Identify opportunities to apply AI and automation to improve operational efficiency and customer experience * Partner with Operations, Customer Solutions and other functions to understand business problems and translate them into AI-driven solutions * Build and deploy generative AI tools such as chatbots, document processing and copilot-style assistants * Support wider process automation initiatives, combining AI with existing workflows and systems Solution Quality & Evaluation * Ensure data and knowledge sources used for retrieval and grounding are accurate, well-governed and fit for purpose * Monitor the performance, accuracy and reliability of AI/LLM solutions in production, tuning prompts, retrieval and configuration as required * Implement testing and evaluation frameworks to assess LLM output quality, including for hallucination and relevance * Document solution design, assumptions and limitations clearly for technical and non-technical audiences Process Improvement & Systems * Establish good engineering practice for deploying and maintaining AI/LLM applications, including version control, testing and monitoring * Champion best practice in AI engineering, code quality and documentation * Drive automation of recurring or manual tasks across the business using AI where appropriate * Evaluate and recommend AI/LLM tools, platforms and vendors, providing technical judgement on build vs. buy decisions Knowledge Sharing * Act as a technical point of reference for AI within the team, sharing practical knowledge of tools and techniques with colleagues. * Provide guidance to colleagues on the safe and effective use of AI tools and techniques * Share knowledge of emerging AI trends and technologies relevant to the business * Support the Head of IT with technical explanations of AI capabilities, limitations and risk Compliance and Risk Management * Ensure AI/LLM solutions are developed and deployed responsibly and in compliance with relevant policies and regulations. * Ensure AI/LLM solutions comply with relevant data protection, privacy and AI governance requirements, including when using third-party LLM providers * Follow responsible AI principles, considering bias, fairness, transparency and security in solution design * Support internal controls and risk assessments relating to AI systems and third-party AI tools * Escalate risks relating to data, models or AI tools to the Head of IT in a timely manner Vendor and Technical Stakeholder Management * Support relationships with AI/LLM vendors and technology partners, providing technical input to inform vendor selection and ongoing management. * Provide technical evaluation of AI/LLM vendors and technology partners to inform selection and contracting decisions * Act as a technical point of contact for AI/LLM vendors on integration and delivery matters * Communicate complex technical concepts clearly to non-technical stakeholders across the business * Support the Head of IT in AI-related discussions with business stakeholders as required