AI Engineer

B&H Worldwide (Holdings) Limited; Greater London; In loco; GBP 90.000 - 130.000; Tempo pieno

Vantaggi offerti da questo lavoro

Generous holiday 25 days

Pension scheme

Private health insurance

Life assurance

Employee Assistance Programme

Free on-site parking

Descrizione del lavoro

B&H Worldwide is seeking a hands-on AI/LLM technical owner to design, build and deploy practical AI solutions. You will lead retrieval-augmented generation, document processing and copilot-style tools, ground LLM outputs in Company data, and integrate AI across systems, while ensuring governance, risk and performance in a fast-paced logistics environment.

You will evaluate providers, prototype capabilities, and work with stakeholders to prioritise high-value use cases, aiming to boost

Competenze

• 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 hands-on delivery of LLM-based solutions.
• Experience with cloud platforms and AI services; certifications desirable (Azure AI Engineer, AWS ML Specialty).

Mansioni

• Design, build and deploy LLM-based applications including RAG, document processing and copilot-style tools.
• Build and maintain retrieval pipelines with vector databases and knowledge sources.
• Integrate AI/LLM solutions with existing systems via APIs and evaluate providers/frameworks.
• Prototype new AI capabilities and identify opportunities to automate processes.
• Ensure AI solutions are well-governed, tested and compliant.

Conoscenze

LLM development

Python

Cloud platforms

Prompt engineering

RAG pipelines

API integration

Formazione

Degree calibre or equivalent in CS/Data Science/Engineering

Strumenti

OpenAI API

Azure OpenAI

LangChain

Vector databases

Descrizione del lavoro

The Global Institute of Logistics has named B&H Worldwide as the world’s Best in Class Global Aerospace Logistics Company.As the benchmark independent freight forwarder in the global aerospace logistics space, our vision is to be the most respected, valued, passionate and entrusted leader in global aerospace logistics. We aim to provide our employees with a rewarding, safe and empowered environment that fosters high standards. Working at B&H Worldwide you will have the opportunity to grow your career supportedbyan award-winning team and industry

Our Mission

To support our customers with consistent, dependable, competitive and innovative logistics solutions which powers their business.

Our Vision

To be the most respected, valued, passionate and entrusted leader in global aerospace logistics.

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.

Location:London

Line Manager:Head of IT

Working Pattern:Full-time, Monday to Friday

Key Role Accountabilities

Technical planning and execution:

• 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
• 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

Your Experience

• 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 elevate 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

Personal Attributes

• 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

What We Offer:

• Generous holiday with 25 days per year, plus UK public holidays and an additional day for your birthday.
• Contributory pension scheme, private health insurance and life assurance.
• Employee Assistance Programme.
• Free on‑site parking.
• Opportunity to grow expertise through ongoing coaching, training and development sessions.
  

B&H Worldwide are an equal opportunity employer. We are committed to creating an inclusive and diverse environment for all team members. If you do require any reasonable adjustments or support during the application process; please contact [e-mail]

Proven experience in software or data engineering, including recent (last 12 months) hands‑on delivery of LLM-based / generative AI solutions