At a Glance
- Tasks: Design and build cutting-edge AI applications while mentoring junior engineers.
- Company: Futurice, a values-driven tech company focused on AI and data solutions.
- Benefits: Competitive salary, personal learning budget, flexible remote work, and private health insurance.
- Other info: Join a supportive team culture that celebrates individuality and encourages continuous growth.
- Why this job: Shape the future of AI and make a real impact across various industries.
- Qualifications: 5+ years in AI or data-intensive software engineering with proficiency in Python.
The predicted salary is between 50000 - 80000 £ per year.
Join us. We're always happy to hear from people who are eager to learn and grow, and share our values. Read more about the role and apply.
About The Role
As a Senior AI Engineer at Futurice, you'll be part of our growing AI & Data team, designing and building the intelligent applications and workflows that sit at the heart of our client work. You'll be shaping solutions, advising clients, and helping define how Futurice builds and delivers AI at scale. You'll work across the full lifecycle: from early-stage ideation and proposals through to building and deploying production-quality, cloud-native GenAI applications for clients across industries like media, retail, and automotive. You'll also mentor junior engineers and make meaningful contributions to our internal AI practices.
Skills & Requirements
- 5+ years of hands-on experience – in AI or applied data-intensive software engineering, or equivalent experience. A track record of taking projects from idea to production is what matters most.
- Proficiency in Python – You write clean, maintainable, production-quality code. You have experience taking systems from idea to production and keeping them running.
- Modern GenAI tooling – You have hands-on experience with libraries and tools like Pinecone, HuggingFace, LangChain/LangSmith, or CrewAI, and you know how to pick the right tool for the job.
- Understanding of agentic architectures – You're comfortable designing systems involving tool use, orchestration, evaluation, and multi-agent patterns, and you understand the trade-offs involved.
- Experience with RAG systems – You have a solid understanding of retrieval-augmented generation systems and pipelines, and you've built them in real-world contexts.
- Cloud platform experience – You're experienced with at least one of Azure, AWS, or GCP, and comfortable deploying and maintaining systems in production.
- Interest in client-facing work – You enjoy the full picture. You're as happy in a client workshop or contributing to a proposal as you are building. You can explain complex ideas clearly and build trust with clients.
- Curiosity over ego – You approach disagreement with empathy, learn from feedback, and care more about getting things right than being right.
You don't need experience in everything in the world of GenAI, we know it moves fast. We're looking for people who are strong in a few areas and take the initiative to grow in others. Tell us what you've been exploring lately.
What you'll do
- Design and build cutting-edge AI applications – from MCP servers and voice-to-voice real-time apps to RAG bots and multi-agent systems. You'll work on technology that's genuinely new territory.
- Advise clients on AI strategy – join workshops, contribute to proposals, and help clients understand what's possible and what's right for them. You'll be a trusted voice in conversations with clients, shaping direction alongside them.
- Build demos and PoCs – fast, purposeful, and client-ready. You know how to show something compelling without over-engineering it.
- Mentor junior engineers – share knowledge, review code thoughtfully, and help grow the team around you.
- Shape our AI practice – contribute to shared tools, frameworks, and ways of working. How Futurice delivers AI is something we build together.
Next steps - who you'll meet and for what
We aim to make the process clear, human, and respectful of your time:
- Talent screening call (30m) – with someone from our People Team to learn about you, your ambitions, and answer your questions about the role.
- Technical task & interview (90m) – a practical exercise followed by a conversation with our AI team. We're more than happy for you to use AI during the task, just tell us how you leveraged it.
- Values interview (45m) – with a cross-functional duo to explore how you work, what drives you, and how you align with our culture of care, trust, transparency, and continuous improvement.
What Futurice Offers You
We use a transparent salary model based on your skills, responsibilities, and impact. The salary band for this role is £50,000 – £80,000 depending on experience. We also believe in care, trust, transparency, and continuous improvement. Here's what that looks like in practice:
- A supportive, values-driven team culture where individuality is celebrated.
- A personal learning budget (£1,200/year), mentoring, and knowledge-sharing sessions.
- Flexible, remote-first working with colleagues across the UK and EU.
- Private health insurance (WPA), pension contributions (6%+), and wellbeing support (£50/month via Juno).
- 25 days holiday +
Senior AI Engineer in London employer: Futurice
Futurice is an exceptional employer for Senior AI Engineers, offering a supportive and values-driven team culture that celebrates individuality and fosters continuous improvement. With a personal learning budget, flexible remote-first working arrangements, and comprehensive benefits including private health insurance and generous holiday allowances, employees are empowered to grow both personally and professionally while contributing to cutting-edge AI solutions across diverse industries.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people 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 refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and GenAI. This is your chance to demonstrate your hands-on experience and problem-solving abilities to potential employers.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios relevant to AI engineering. Don’t forget to brush up on how you’d explain complex concepts to clients – communication is key!
✨Tip Number 4
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 Futurice.
We think you need these skills to ace Senior AI Engineer in London
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI shine through! Share what excites you about the field and any recent projects or tools you've been exploring. We love seeing candidates who are genuinely curious and eager to learn.
Tailor Your Experience:Make sure to highlight your relevant experience in AI and software engineering. Focus on specific projects where you've taken ideas from concept to production. We want to see how your skills align with what we do at Futurice!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your skills and experiences. We appreciate well-structured applications that make it easy for us to see your qualifications at a glance.
Apply Through Our Website:Don't forget to submit your application through our website! It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it's super easy to do!
How to prepare for a job interview at Futurice
✨Know Your Tech Inside Out
Make sure you’re well-versed in the tools and libraries mentioned in the job description, like Python, Pinecone, and HuggingFace. Prepare to discuss your hands-on experience with these technologies and how you've used them in real-world projects.
✨Showcase Your Problem-Solving Skills
Be ready to walk through a project where you took an idea from concept to production. Highlight the challenges you faced and how you overcame them, especially in client-facing scenarios. This will demonstrate your ability to think critically and adapt.
✨Engage in Client Conversations
Since this role involves advising clients, practice explaining complex AI concepts in simple terms. Think of examples where you’ve successfully communicated technical ideas to non-technical stakeholders, as this will show your ability to build trust and rapport.
✨Emphasise Your Mentorship Experience
If you have experience mentoring junior engineers, be sure to share specific instances where you helped others grow. Discuss your approach to code reviews and knowledge sharing, as this aligns with the collaborative culture they value at Futurice.
