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For Companies At a Glance
- Tasks: Own technical success of AI deployments and troubleshoot complex systems.
- Company: Exciting deep-tech AI scale-up transforming retail with cutting-edge technology.
- Benefits: Competitive salary, bonus, equity, and hybrid work model.
- Why this job: Make a real-world impact in retail tech while working with innovative AI solutions.
- Qualifications: Experience in technical support, troubleshooting, and understanding of AI and retail systems.
- Other info: Dynamic role with diverse challenges and opportunities for growth.
The predicted salary is between 68000 - 102000 £ per year.
We’re partnering with one of London’s most exciting deep-tech AI scale-ups, pioneers of on-device, self-training AI now deployed across 1,000+ Tier 1 retail stores. Their edge platform powers real-time computer vision and PoS automation across global retail estates.
They’re hiring a Technical Solutions Engineer, not a TAM, not a PM, not an implementation role. Think: deep troubleshooting, edge deployments, distributed systems, containers, logs, Linux, cloud, and full technical ownership of AI models running across thousands of PoS devices.
If you love pulling systems apart, debugging across multiple layers, and being the technical face of a cutting-edge AI product, this is for you.
What You’ll Be Doing
- Own the technical success of enterprise deployments across thousands of PoS + edge devices
- Troubleshoot end-to-end: AI model behaviour, device integrations, networks, cloud infra, on-device performance
- Analyse logs, metrics and telemetry (Grafana, Metabase) to pinpoint root cause
- Work hands-on with Linux, SQL, Docker, AWS/GCP/Azure
- Lead pilots, rollouts and on-device testing across major retail estates
- Collaborate with Engineering, ML, and Product to improve reliability + performance
- Manage incidents from first alert to identifying product-level bugs
- Translate complex technical issues into clear, actionable guidance for enterprise retail clients
- Act as the dedicated technical point of contact for strategic accounts
Ideal Background
You’re a hands-on, client facing, technical support engineer with real ownership experience in live customer environments, ideally within RetailTech (SaaS), PoS systems, edge AI, computer vision, or IoT.
You understand:
- Edge ML pipelines (training, validation, orchestration)
- Retail IT infrastructure (PoS, SCO, store networks)
- Integration frameworks (APIs, SDKs, cloud-edge sync)
Technical Requirements
- Strong troubleshooting across:
- SQL
- Linux / OS-level commands
- Docker / containers
- Cloud (AWS, GCP, Azure)
- Log analysis, performance monitoring
- Diagnosing issues across AI models, integrations, networks, device hardware, cloud layers
- Technical Support Engineer (L2/L3)
- Solutions Engineer
- Platform Support Engineer / SRE-lite
- Deeply technical TAM (SaaS/AI/IoT)
Why Join
- Work across AI, PoS vision, hardware, cloud, edge, distributed systems
- Massive technical variety, no two issues look the same
- Direct input into product decisions
- Equity with meaningful upside
- Real-world impact across thousands of retail devices globally
- Perfect for engineers who want customer-facing work without sacrificing technical depth
Interested?
If you’re a strong technical trouble shooter who thrives on autonomy, complex systems, and customer-facing support engineering in the world of RetailTech and PoS AI, we’d love to speak with you.
Technical Solutions Engineer - Deep-Tech AI Start-up in City of London employer: Urban Digital Recruitment Ltd
Contact Detail:
Urban Digital Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Solutions Engineer - Deep-Tech AI Start-up in City of London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works in AI or RetailTech. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI, cloud, or troubleshooting. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your troubleshooting skills. Practice explaining complex issues clearly and concisely, as you'll need to translate technical jargon into actionable insights for clients. We recommend doing mock interviews with friends or using online platforms.
✨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 Technical Solutions Engineer - Deep-Tech AI Start-up in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role. Highlight your experience with troubleshooting, edge deployments, and any relevant tech like SQL, Docker, or cloud services. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about deep-tech AI and how your background makes you the perfect fit for this role. Don’t forget to mention specific projects or experiences that relate to our needs.
Showcase Your Technical Skills: In your application, be sure to highlight your hands-on experience with Linux, cloud platforms, and log analysis. We love candidates who can demonstrate their technical prowess, so don’t hold back on the details!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to showcase your skills. Plus, it’s super easy!
How to prepare for a job interview at Urban Digital Recruitment Ltd
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like SQL, Linux, Docker, and cloud platforms. Brush up on your troubleshooting skills, especially around AI models and distributed systems, as you'll need to demonstrate your technical prowess during the interview.
✨Prepare Real-World Examples
Think of specific instances where you've successfully troubleshot complex issues or led deployments. Be ready to discuss how you approached these challenges, what tools you used, and the outcomes. This will show your hands-on experience and problem-solving abilities.
✨Understand the Company’s Product
Research the deep-tech AI solutions the company offers, particularly their edge platform and PoS automation. Being able to speak knowledgeably about their products and how they impact retail operations will impress your interviewers and show your genuine interest in the role.
✨Practice Clear Communication
Since you'll be translating complex technical issues for clients, practice explaining technical concepts in simple terms. Role-play with a friend or use mock interviews to refine your ability to communicate effectively, ensuring you can convey your ideas clearly and confidently.
