At a Glance
- Tasks: Design and build AI components for innovative workflow solutions.
- Company: Join Delta Capita, a leader in financial services and tech innovation.
- Benefits: Enjoy hybrid working, competitive salary, and career growth opportunities.
- Other info: Be part of a diverse team committed to equal opportunities.
- Why this job: Make a real impact by integrating cutting-edge AI into production workflows.
- Qualifications: Experience with LLMs, Python, and understanding of regulated environments.
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
Requirements
- Proven experience integrating LLMs into production business workflows
- 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
- 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 employer: Delta Capita Group
Delta Capita is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the LLM Specialist role in London. With a strong commitment to employee growth, we offer opportunities to engage in cutting-edge AI projects within a regulated environment, ensuring that your contributions are impactful and meaningful. Our hybrid working model promotes work-life balance, while our dedication to diversity and inclusion creates a supportive atmosphere for all employees.
StudySmarter Expert Advice🤫
We think this is how you could land LLM Specialist / AI Developer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs and Python. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI and LLMs. Practice explaining your thought process and how you've tackled challenges in past projects—this will help you stand out during the interview.
✨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, it shows you're genuinely interested in joining our team at Delta Capita.
We think you need these skills to ace LLM Specialist / AI Developer
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the LLM Specialist role. Highlight your experience with AI components, Python, and any relevant projects that showcase your skills in integrating LLMs into workflows.
Showcase Your Technical Skills:Don’t hold back on your technical prowess! Detail your experience with REST APIs, model integrations, and any hands-on work you've done in regulated environments. We want to see how you can contribute to our AI solutions.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Delta Capita Group
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs and their integration into workflows. Be ready to discuss specific models like Copilot or Azure OpenAI, and how you've used them in past projects. This shows you're not just familiar with the theory but have practical experience too.
✨Showcase Your Python Skills
Since this role requires strong Python skills, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, efficient code that integrates with APIs. Highlight any previous projects where you've built evaluation layers or worked with REST APIs.
✨Understand the Regulatory Landscape
Given the regulated environment, it's crucial to understand compliance and governance in AI. Be prepared to discuss how you've handled data security, auditability, and human review processes in your previous roles. This will show that you can navigate the complexities of working in financial services.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills. Think about how you would approach designing prompt frameworks or embedding AI components into workflows. Practising these scenarios can help you articulate your thought process clearly during the interview.
