At a Glance
- Tasks: Build AI components for workflow platforms and enhance customer data extraction.
- Company: Join Delta Capita, a forward-thinking tech company in London.
- Benefits: Enjoy hybrid working, competitive salary, and inclusive culture.
- Other info: Great opportunity for career growth in a regulated industry.
- Why this job: Make a real impact by integrating cutting-edge AI solutions in a dynamic environment.
- Qualifications: Experience with LLMs, Python, and API security is essential.
The predicted salary is between 60000 - 80000 £ per year.
The LLM Specialist builds AI components embedded within the workflow platform. Initial use cases include intelligent extraction of customer data from inbound communications and Copilot-style assistance integrated across the workflow journey. This is a hands‑on technical role requiring the design of prompt frameworks, model integrations, and evaluation mechanisms that ensure AI solutions are robust, reliable, and suitable for production within a regulated environment.
Key Responsibilities
- Design and build AI components (e.g. extraction, classification, summarisation, assist) embedded within iQcodex workflows
- Select appropriate models and providers (e.g. Copilot, Azure OpenAI) per use case and own end‑to‑end integration
- Engineer prompts, structured outputs, and grounding strategies suitable for a regulated financial services environment
- Develop evaluation harnesses to assess accuracy, robustness, and acceptable failure modes
- Partner with Process Automation Developers to seamlessly embed AI components into production workflows
- Contribute to AI governance and risk frameworks, including data handling, auditability, and escalation to human review
Essential Skills & Experience
- Proven experience integrating LLMs into production business workflows
- Hands‑on exposure to Copilot (Microsoft 365 Copilot, Copilot Studio) or Azure OpenAI
- Strong Python (or equivalent) for integration and evaluation layers
- Solid understanding of REST APIs and API security within regulated environments
- Pragmatic understanding of LLM limitations, with a disciplined approach to testing and evaluation
Desirable
- Experience delivering solutions within financial services or other regulated industries
- Familiarity with retrieval‑augmented generation (RAG) and structured output prompting techniques
- Exposure to iQcodex or comparable low‑code workflow platforms
This is a fixed‑term position located in London with hybrid working. As the selection and interview process is ongoing, please submit your application in English as soon as possible. If your profile is selected, a member of our team will contact you within 4 weeks. For this role, a valid working permit for the UK is mandatory.
LLM Specialist / AI Developer in London employer: Delta Capita
Contact Detail:
Delta Capita Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land LLM Specialist / AI Developer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI and LLMs. Practice explaining your thought process clearly, as communication is key in technical roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates like you!
We think you need these skills to ace LLM Specialist / AI Developer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the LLM Specialist role. Highlight your experience with AI components, model integrations, and any relevant projects that showcase your skills in a regulated environment.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI development and how your background aligns with our needs. Don’t forget to mention specific technologies like Copilot or Azure OpenAI.
Showcase Your Technical Skills: In your application, be sure to highlight your hands-on experience with Python and REST APIs. We want to see how you've integrated LLMs into workflows, so include examples that demonstrate your technical prowess.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role as soon as possible. Don’t wait too long!
How to prepare for a job interview at Delta Capita
✨Know Your LLMs Inside Out
Make sure you’re well-versed in the latest developments in LLMs and their applications. Brush up on your experience with integrating LLMs into production workflows, especially in regulated environments. Be ready to discuss specific projects where you've successfully implemented these technologies.
✨Demonstrate Your Technical Skills
Prepare to showcase your Python skills and understanding of REST APIs. You might be asked to solve a problem on the spot, so practice coding challenges related to AI integration and evaluation. Familiarity with tools like Copilot or Azure OpenAI will definitely give you an edge.
✨Understand the Business Context
Get a grip on how AI components can enhance business processes, particularly in financial services. Think about how intelligent data extraction and summarisation can improve customer interactions. Being able to connect your technical skills to real-world applications will impress the interviewers.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in a regulated environment. Prepare examples of how you’ve handled challenges related to AI governance, risk frameworks, and data handling. Show that you can think critically about the implications of your work.