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- Tasks: Design and own data infrastructure for AI at a fast-paced startup.
- Company: Exciting Series-funded AI startup with a focus on innovation.
- Benefits: Competitive salary up to £130k, equity options, and a dynamic work environment.
- Other info: Fast-moving culture with continuous shipping and a strong emphasis on product quality.
- Why this job: Join a team that values data and AI as top priorities and make a real impact.
- Qualifications: 5+ years in production Python and experience with various database paradigms.
The predicted salary is between 110000 - 130000 £ per year.
We're hiring an AI Platform Engineer to own the data infrastructure at a Series-funded AI startup. You'll sit at the intersection of backend and AI engineering. You'll design and own the services and pipelines that move, transform, store and serve data across the product—including the AI-driven parts.
Responsibilities include:
- Owning the platform for AI engineers who are shipping fast and need infrastructure to keep up.
- Designing, building and operating production Python services (REST/RPC and queue-based).
- Owning the data backbone: ingestion, transformation, storage and retrieval.
- Partnering with product and AI engineers on clean, API-first service designs.
- Helping your AI engineering team move from scrappy to scalable.
Requirements:
- 5+ years production Python experience.
- Hands-on experience with multiple database paradigms (relational + at least one of: vector, document, graph).
- Event-based architecture (Kafka/NATS), infrastructure-as-code, gen-AI in production, product thinking.
We move quickly, ship to production continuously, and obsess over product quality. Data, AI and backend are all first-class concerns—not afterthoughts.
Real compensation: Up to £130k salary (depending on experience) + equity up to 100% of salary in options.
Artificial Intelligence Platform Engineer in City of London employer: Wave Group
Contact Detail:
Wave Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Platform Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and backend engineering space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving data pipelines or AI services. We love seeing real-world applications of your work, so make sure to highlight any production-level experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your database knowledge and event-based architectures. We want to see how you think through problems, so practice explaining your thought process clearly and confidently.
✨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’re always on the lookout for passionate candidates who are ready to help us scale our AI platform.
We think you need these skills to ace Artificial Intelligence Platform Engineer in City of London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your production Python experience in your application. We want to see how you've used Python to build services and handle data, so share specific examples that showcase your expertise!
Talk About Your Data Experience: Since you'll be owning the data backbone, it's crucial to mention your hands-on experience with different database paradigms. Let us know how you've worked with relational databases and any other types like vector or document databases.
Emphasise Collaboration: We love teamwork! In your application, mention how you've partnered with product and AI engineers in the past. Share instances where your collaboration led to clean, API-first service designs that made a difference.
Keep It Relevant and Concise: When writing your application, keep it focused on the role. Tailor your experiences to match what we're looking for in an AI Platform Engineer. And remember, applying through our website is the best way to get noticed!
How to prepare for a job interview at Wave Group
✨Know Your Tech Stack
Make sure you’re well-versed in Python and the various database paradigms mentioned in the job description. Brush up on your knowledge of relational databases, vector, document, and graph databases. Being able to discuss your hands-on experience with these technologies will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially those related to data ingestion, transformation, and storage. Use examples that highlight your ability to design scalable solutions and how you’ve partnered with teams to enhance product quality.
✨Understand Event-Based Architecture
Familiarise yourself with event-based architectures like Kafka or NATS. Be ready to explain how you’ve implemented these in past projects and how they can benefit the AI platform. This will demonstrate your technical depth and readiness to contribute to their fast-paced environment.
✨Emphasise Collaboration
Since the role involves partnering with product and AI engineers, be prepared to discuss your experience working in cross-functional teams. Highlight how you’ve contributed to API-first service designs and how you can help the team transition from scrappy to scalable solutions.