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For Companies At a Glance
- Tasks: Design and build innovative AI systems that transform industries.
- Company: High-growth enterprise SaaS company launching an AI Innovation Lab.
- Benefits: Competitive salary, hybrid work model, and opportunities for impactful projects.
- Why this job: Join at the ground level of a transformative AI programme with smart colleagues.
- Qualifications: 6+ years in software engineering, strong in TypeScript and Python, AI/ML experience.
- Other info: Dynamic environment with real challenges and significant career growth potential.
The predicted salary is between 108000 - 132000 £ per year.
Curated are excited to be working exclusively with a high-growth enterprise SaaS pivoting hard into AI. With deep industry data, a strong technical foundation, and genuine executive backing, they are building an Innovation Lab from scratch and hiring the engineers who will define it. This is a rare opportunity to join at the beginning of something that matters, in an industry that is long overdue for transformation.
They are looking for a Software Engineer who is as comfortable designing cloud-native architecture as they are exploring what a well-placed LLM can actually do in production. You will work directly with business stakeholders and senior engineers to build AI-powered systems that replace legacy processes and unlock new ways of working, not prototypes that gather dust, but solutions that ship and stick. This is not a role for someone building AI wrappers. The expectation is production-grade AI systems, designed and owned end-to-end. This is not a role for someone who wants a well-defined ticket queue. It is for someone who sees an unsolved problem and already has three ideas before the meeting ends.
What You'll Do
- Design and build cloud-native services in TypeScript and Python on AWS, with real architectural ownership
- Develop and deploy LLM-based agents, RAG pipelines, and AI workflows that solve genuine business problems
- Lead prototype demonstrations and translate complex technical decisions for non-technical stakeholders
- Produce clean, well-tested code across the full software development lifecycle
- Work closely with business users to shape what gets built, not just how
What We're Looking For
- 6+ years of production software engineering experience, with a growing focus on AI and ML applications
- Strong command of TypeScript and Python; experience with microservices, async architecture, and AWS infrastructure
- Hands-on experience with LLMs, RAG workflows, or agentic systems — and the pragmatism to know when not to use them
- A confident communicator who can hold their own with senior stakeholders and simplify hard tradeoffs clearly
- Adaptable, intellectually curious, and energised by ambiguity rather than slowed by it
Why This Role
Ground-floor access to an AI programme with real resource behind it. Smart colleagues. Hard problems. A company moving fast in a space where the right technology, applied well, genuinely changes how an industry operates. If you are a software engineer ready to do the most meaningful work of your career, we would love to hear from you.
Senior AI Engineer in London employer: Curated
Contact Detail:
Curated Recruiting Team
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 involving AI and cloud-native architecture. 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 your technical knowledge and soft skills. Be ready to discuss your past projects and how you've tackled complex problems. Practice explaining your thought process clearly to non-technical stakeholders.
✨Tip Number 4
Apply through our website! We’re excited to see your application and want to make sure it gets the attention it deserves. Plus, it’s a great way to show your enthusiasm for joining our innovative team.
We think you need these skills to ace Senior AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior AI Engineer role. Highlight your experience with TypeScript, Python, and any AI/ML projects you've worked on. We want to see how you can contribute to our Innovation Lab!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your personality and passion for AI. Share specific examples of how you've tackled complex problems and what excites you about building production-grade AI systems. Let us know why you're the perfect fit for this role!
Showcase Your Projects: If you've worked on relevant projects, whether in a professional or personal capacity, make sure to include them. We love seeing real-world applications of your skills, especially those that demonstrate your ability to design and build cloud-native services.
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 this exciting opportunity. Don’t miss out on being part of something transformative!
How to prepare for a job interview at Curated
✨Know Your Tech Inside Out
Make sure you’re well-versed in TypeScript, Python, and AWS. Brush up on your knowledge of cloud-native architecture and LLMs. Be ready to discuss specific projects where you've applied these technologies, as this will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to discuss real-world problems you've solved using AI and ML. Think of examples where you identified an issue and came up with innovative solutions. This role is all about tackling unsolved problems, so demonstrate your proactive mindset.
✨Communicate Clearly with Stakeholders
Practice explaining complex technical concepts in simple terms. You’ll need to engage with non-technical stakeholders, so being able to translate your ideas into layman's terms will be crucial. Consider role-playing with a friend to refine this skill.
✨Embrace Ambiguity
This position requires adaptability and a willingness to navigate uncertainty. Prepare examples from your past experiences where you thrived in ambiguous situations. Highlight how you turned challenges into opportunities, showing that you’re energised by complexity.