At a Glance
- Tasks: Develop AI-enhanced software and build intelligent, scalable systems using Python and React.
- Company: Fast-growing tech startup focused on AI-driven consumer experiences.
- Benefits: Up to £140k salary, equity package, hybrid work, and 25 days holiday.
- Other info: Dynamic culture with regular team events and a focus on professional growth.
- Why this job: Join a high-impact team and shape the future of AI-assisted engineering.
- Qualifications: Strong full-stack experience with Python, React, and AI development tools.
The predicted salary is between 140000 - 140000 € per year.
We’re partnering with a fast-growing, technology-led startup building AI-enhanced consumer experiences at scale. Their platform powers a multi-brand ecosystem across commerce, operations, and data infrastructure, underpinned by proprietary technology and automation. As they scale, they’re looking for a Senior AI Engineer to join a high-impact product engineering team. AI-assisted development is deeply embedded into how they operate - from agentic coding workflows and autonomous tooling to rapid prototyping, testing, and deployment.
This is a hybrid role in London.
What You’ll Do- AI-Native Software Development: Leverage LLM-powered and agentic engineering tools to navigate large codebases, accelerate implementation, automate workflows, and ship production-ready features across a modern full-stack environment.
- Build Intelligent, Scalable Systems: Design and develop end-to-end applications spanning backend services, APIs, data models, and highly performant frontend experiences using Python and React.
- Shape AI-First Engineering Practices: Help define best practices around AI-assisted software development, evaluation, testing, and developer productivity. Drive adoption of high-leverage tooling and workflows across the engineering organisation.
- Operate with High Ownership: Work closely with product and leadership teams to solve complex technical problems, move quickly, and make pragmatic architectural decisions in a fast-scaling environment.
- AI-Enabled Engineer: You actively use modern AI tooling (e.g. coding agents, copilots, workflow automation, LLM-assisted debugging/refactoring) to improve speed and output quality, while applying strong engineering judgment and validation.
- Strong Full-Stack Builder: You’re comfortable owning systems end-to-end - from backend architecture and databases through to polished frontend delivery.
- Product-Minded Problem Solver: You balance speed with quality, make thoughtful technical trade-offs, and thrive in ambiguous, high-autonomy environments.
- High Agency Operator: You’re proactive, execution-focused, and energised by building in fast-moving teams where engineers have significant ownership and impact.
- Strong full-stack engineering experience with Python and React.
- Experience building scalable APIs and distributed systems.
- Familiarity with AI-assisted development tooling and workflows.
- Strong knowledge of relational databases (e.g. MySQL) and ORM frameworks.
- Experience with Docker and cloud infrastructure (AWS preferred).
- Understanding of modern web architecture, observability, and performance optimisation.
- Salary up to £140k.
- Meaningful EMI equity package (option to access within 12 months and retain even after exit).
- Hybrid working with flexible hours.
- 25 days holiday plus bank holidays.
- Daily meals provided in the office.
- £500 annual learning and development budget.
- Health and wellbeing support, including healthcare plan and cycle-to-work scheme.
- Family support benefits, including childcare cost-saving initiatives.
- Regular team events and a highly collaborative culture.
Apply now - we’d love to tell you more.
Artificial Intelligence Engineer employer: develop
Join a dynamic and innovative technology-led startup in London, where you'll be part of a high-impact product engineering team dedicated to building AI-enhanced consumer experiences. With a strong focus on employee growth, the company offers a competitive salary of up to £140k, a meaningful equity package, and a hybrid working model that promotes flexibility and work-life balance. Enjoy a collaborative culture, generous holiday allowance, and comprehensive health and wellbeing support, making it an excellent employer for those seeking a rewarding career in AI engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer
✨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 AI projects, especially those using Python and React. 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 full-stack development. Practice coding challenges and be ready to discuss your past projects and how you’ve used AI tooling in your work.
✨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 who are eager to join our innovative team.
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, React, and AI tooling. We want to see how you've used these skills in real projects, so don’t hold back on the details!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re excited about the role and how your background makes you a perfect fit for our fast-growing team. Keep it engaging and personal.
Showcase Your Projects:If you’ve worked on any relevant projects, especially those involving AI-assisted development or full-stack applications, make sure to mention them. We love seeing practical examples of your work!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at develop
✨Know Your AI Tools
Make sure you’re well-versed in the modern AI tooling mentioned in the job description. Familiarise yourself with coding agents, LLM-assisted debugging, and workflow automation. Being able to discuss how you've used these tools in your previous projects will show that you're not just a theoretical engineer but someone who can apply these technologies practically.
✨Showcase Your Full-Stack Skills
Prepare to talk about your experience with both Python and React. Have specific examples ready where you’ve built scalable APIs or end-to-end applications. Highlight any challenges you faced and how you overcame them, as this demonstrates your problem-solving abilities and technical depth.
✨Emphasise Ownership and Impact
This role requires high ownership, so be ready to share instances where you took charge of a project or made significant architectural decisions. Discuss how your contributions led to tangible results, especially in fast-paced environments. This will resonate well with their focus on proactive and execution-focused engineers.
✨Prepare for Technical Trade-offs
Expect questions about balancing speed with quality and making thoughtful technical trade-offs. Think of scenarios where you had to make tough decisions and how you justified them. This will showcase your product-minded approach and ability to thrive in ambiguous situations, which is key for this role.
