At a Glance
- Tasks: Lead the delivery of innovative GenAI solutions and mentor fellow engineers.
- Company: Join FDJ UNITED, a top European betting and gaming operator with a tech-savvy culture.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Inclusive workplace valuing diversity and merit-based evaluation.
- Why this job: Shape the future of AI in a dynamic industry while making a real impact.
- Qualifications: Experience with LLM applications, strong Python skills, and cloud-native expertise.
The predicted salary is between 70000 - 90000 £ per year.
Senior AI Solutions Engineer
At FDJ UNITED, we don't just follow the game, we reinvent it.
We are one of Europe’s leading betting and gaming operators, with a vast portfolio of iconic brands and a reputation for technological excellence.
With more than 5,000 employees and a presence in around fifteen regulated markets, we offer a diversified, responsible range of games that prove entertainment and safety can go hand in hand.
In this senior individual‑contributor role, you will own end‑to‑end delivery of complex Gen AI use cases on the KAIT platform, remaining deeply hands‑on while shaping solution design, evaluation strategy, and operational readiness.
What you will do
- Own the full lifecycle of Gen AI solutions: discovery, technical design, implementation, evaluation, release, and ongoing operation in production.
- Design and build robust LLM‑backed services and agentic workflows with explicit tool contracts, safe execution boundaries, retries, and failure handling.
- Lead RAG design for your use cases, including ingestion approach, retrieval tuning, reranking, and systematic evaluation of retrieval and response quality.
- Own production hardening for high‑trust capabilities such as Text‑to‑SQL, including schema grounding, golden question sets, safe query enforcement, timeouts, and auditable traces.
- Define and maintain evaluation and release gates, including regression suites and safety checks to prevent silent degradation.
- Ensure strong observability and operability through tracing, metrics, logs, dashboards, alerts, and clear runbooks.
- Drive cost and performance optimisation through model selection, routing, prompt/version control, caching strategies, and token budgets.
- Collaborate closely with Platform Engineering, Data Engineering, and Security to deploy solutions on Kubernetes using approved Helm and Terraform patterns.
- Mentor AI Solutions Engineers through code reviews, design discussions, and pairing on complex problems.
- Communicate technical trade‑offs clearly to product and business stakeholders.
- Operate in line with FDJ UNITED values and applicable governance, risk, and compliance obligations.
Qualifications
- Strong track record shipping and operating LLM‑powered applications in production environments.
- Advanced Python and backend engineering skills.
- Deep practical experience with RAG systems, including vector search, retrieval tuning, and evaluation.
- Strong SQL and analytics fundamentals, including safe access patterns to analytical databases.
- Experience working in cloud‑native environments (Docker, Kubernetes) and collaborating with platform/security teams.
- Demonstrated LLMOps discipline: evaluation, monitoring, release gates, and incident follow‑up.
- Strong security instincts for Gen AI systems, including prompt injection risks and data leakage prevention.
- Ability to lead without formal authority and influence stakeholders.
- Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent professional experience.
We welcome applicants from all backgrounds and evaluate each candidate based on merit, regardless of personal characteristics such as age, gender, origin, religion, sexual orientation, neurodiversity, or disability.
We will only apply these criteria in accordance with applicable local laws.
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Senior AI Solutions Engineer in London employer: Kindred (London) Limited
At Kindred (London) Limited, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a People Systems Analyst, you will not only play a pivotal role in enhancing Workday's functionality but also benefit from extensive professional development opportunities and a supportive team environment. Located in the vibrant city of London, we offer a dynamic workplace where your contributions directly impact thousands of employees, making your work both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Solutions Engineer in London
✨Join Local Tech Meetups
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We think you need these skills to ace Senior AI Solutions Engineer in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Kindred (London) Limited.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Kindred (London) Limited and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Kindred (London) Limited
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Kindred (London) Limited uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
