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- Tasks: Design and deliver AI orchestration systems and platform infrastructure.
- Company: Join a forward-thinking tech business revolutionising AI-driven platforms.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Make a real impact by building cutting-edge AI systems from the ground up.
- Qualifications: Strong Python skills and experience with LLMs or generative AI required.
- Other info: Fast-paced environment with significant ownership and career advancement opportunities.
The predicted salary is between 95000 - 105000 £ per year.
Salary: £95,000 – £105,000
Location: London (Hybrid)
At Data Idols, we are working with a forward-thinking technology business that is building advanced AI-driven platforms to automate complex workflows and deliver intelligent insights at scale. This is a high-growth environment where engineering plays a critical role in shaping product capability.
The Opportunity:
This is a senior, high-impact role where you will own the design and delivery of both AI orchestration systems and the underlying platform infrastructure. You will be responsible for building the layer that connects AI models, workflows, and decision-making processes, while also ensuring the platform is secure, scalable, and compliant for enterprise use. Working closely with product, data, and engineering teams, you will play a key role in bringing AI-driven features into production and ensuring they operate reliably and efficiently. This role suits someone who enjoys building from scratch, taking ownership, and working across both AI systems and platform engineering in a fast-moving environment.
Skills and experience:
- Strong experience with Python
- Experience building production systems using LLMs or generative AI
- Knowledge of prompt engineering, RAG, or agent-based architectures
- Experience working with APIs, distributed systems, or event-driven architectures
- Understanding of authentication and security protocols
- Experience building secure, scalable platforms
- Knowledge of observability, monitoring, and system reliability
- Proven experience owning systems end-to-end
If you are looking for a new challenge and want to work on cutting-edge AI systems, please submit your CV for initial screening and further details.
Senior Backend AI Engineer in London employer: Data Science Festival
Contact Detail:
Data Science Festival Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Backend 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 backend systems. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to AI orchestration and platform infrastructure. Practice coding challenges and system design questions to impress your interviewers.
✨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 seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Backend AI Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and any work you've done with LLMs or generative AI. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Showcase Your Ownership: In your application, emphasise instances where you've taken ownership of systems end-to-end. We love candidates who can demonstrate their ability to build and manage complex platforms, so share those success stories!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s necessary to explain your expertise in AI orchestration or platform infrastructure.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get you into the screening process quickly. We’re excited to hear from you!
How to prepare for a job interview at Data Science Festival
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and be ready to discuss your experience with LLMs or generative AI. Be prepared to explain how you've built production systems in the past, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Since this role involves building AI orchestration systems, think of specific examples where you've taken ownership of a project from start to finish. Highlight how you approached complex problems, especially in distributed systems or event-driven architectures, and what the outcomes were.
✨Understand the Bigger Picture
Familiarise yourself with the company's mission and how they leverage AI to automate workflows. Be ready to discuss how your skills can contribute to their goals, particularly in ensuring platform security and compliance for enterprise use.
✨Prepare Questions That Matter
Interviews are a two-way street! Prepare insightful questions about the team dynamics, the tech stack they use, and how they measure system reliability. This shows your genuine interest in the role and helps you assess if it's the right fit for you.