Technical Solutions Engineer - Deep-Tech AI Start-up

Technical Solutions Engineer – Deep-Tech AI (RetailTech / PoS Vision AI)

London (Hybrid – 1 day onsite)

£80–90k + Bonus + Equity

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

Highly relevant backgrounds:

• Technical Support Engineer (L2/L3)
• Solutions Engineer
• Platform Support Engineer / SRE-lite
• Deeply technical TAM (SaaS/AI/IoT)
• Experience with distributed systems, edge devices, IoT or ML/AI environments

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.