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- Tasks: Design and develop innovative AI solutions, including intelligent agents and workflows.
- Company: Join a forward-thinking tech company focused on AI and innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and make a real difference in the industry.
- Qualifications: Experience in AI development and a passion for cutting-edge technology.
- Other info: Collaborative environment with strong emphasis on diversity and career advancement.
The predicted salary is between 60000 - 80000 ÂŁ per year.
Responsibilities include:
- Design, develop and maintain Copilot solutions, intelligent agents, plugins, connectors and LLM workflows (e.g., Copilot Studio).
- Build scalable components (prompt orchestration, retrieval layers, automation flows, model interfaces, validation pipelines).
- Integrate with enterprise systems/APIs/data platforms, ensuring security, resilience and architecture alignment.
- Conduct rapid prototyping to validate feasibility, model behaviour, UX and performance.
- Develop/optimise RAG components, embeddings, vector queries and metadata strategies for accuracy/reliability.
- Implement observability: logging, telemetry and LLM monitoring for quality and incident triage.
- Create reusable assets (prompt libraries, agent templates, connectors, test harnesses) and documentation.
- Translate design artefacts into buildâready specifications and aligned solution designs.
- Coâdefine test strategies and model performance thresholds with the AI Test Lead.
- Contribute to crossâfunctional design/architecture reviews and standards evolution.
- Mentor colleagues and enable proâ/lowâ/noâcode teams to adopt AI safely.
- Ensure responsible AI principles (e.g., transparency, explainability, ISO42001) are incorporated into all development.
- Provide insight to support business cases, investment decisions, risk assessments, and prioritisation discussions at AI governance forums.
- Collaborate with teams to ensure all AI development work is implementable, sustainable and aligned to enterprise architecture.
- Maintain a library of development artefacts, patterns and reâusable assets to support repeatability and uplift maturity across the AI Foundry.
- Manage escalations supporting the wider Data & AI Leadership team.
Shared Accountabilities:
- Translate Divisional priorities into plans and deliverables to deliver overall Group strategic priorities.
- Build the capability & capacity of functional resources to drive sustained commercial success.
- Interpret & communicate the priorities for the Function, motivating and developing a high performing team.
- Own functional priorities, applying specialist expertise to put the customer at the heart of everything and drive a profitable business.
- Initiate and develop critical external and internal relationships which create value, collaborating to deliver commercial and customer priorities.
- Role model Company Values, champion diversity and challenge behaviour contrary to the Values.
- Identify, define & oversee management of risks associated with delivery across Company.
- Uphold corporate legal & regulatory responsibilities.
- Implement and manage transformation activity & harness innovation to create a high performing & sustainable business.
AI Engineer in Leeds employer: BULLIT MANAGEMENT SERVICES LIMITED
Contact Detail:
BULLIT MANAGEMENT SERVICES LIMITED Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land AI Engineer in Leeds
â¨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow AI enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to Copilot solutions or LLM workflows. This will give potential employers a taste of what you can do and set you apart from the crowd.
â¨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and scenarios. Practice explaining your thought process when developing scalable components or integrating with enterprise systems. Confidence is key!
â¨Tip Number 4
Donât forget to apply through our website! Weâve got loads of opportunities waiting for talented individuals like you. Plus, itâs a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AI Engineer in Leeds
Some tips for your application đŤĄ
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Engineer role. Highlight your experience with Copilot solutions, intelligent agents, and any relevant projects that showcase your skills in building scalable components.
Showcase Your Technical Skills: Donât hold back on displaying your technical prowess! Include specific examples of how you've integrated enterprise systems, developed RAG components, or implemented observability in past projects. We want to see your hands-on experience!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant to the role. We appreciate a well-structured application that gets straight to the point while still showcasing your personality.
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures youâre considered for the role. Plus, it shows youâre keen on joining our team at StudySmarter!
How to prepare for a job interview at BULLIT MANAGEMENT SERVICES LIMITED
â¨Know Your Tech Inside Out
Make sure youâre well-versed in the technologies mentioned in the job description, like LLM workflows and prompt orchestration. Brush up on your knowledge of AI principles, especially around transparency and explainability, as these will likely come up during the interview.
â¨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed or developed scalable components or integrated systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your ability to conduct rapid prototyping and validate model behaviour.
â¨Be Ready to Collaborate
This role involves a lot of teamwork, so be prepared to talk about how youâve worked with cross-functional teams in the past. Share experiences where youâve contributed to design reviews or mentored colleagues, showcasing your ability to communicate effectively and drive collaboration.
â¨Understand the Bigger Picture
Familiarise yourself with the companyâs strategic priorities and how the AI Engineer role fits into them. Be ready to discuss how your work can support business cases and investment decisions, demonstrating that you can align your technical skills with the companyâs goals.