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Job Description

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.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.