Job Title

Technical Solutions Engineer Deep-Tech AI (RetailTech / PoS Vision AI)London (Hybrid 1 day onsite)8090k + Bonus + Equity Do not pass up this chance, apply quickly if your experience and skills match what is in the following description.Were partnering with one of Londons 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.Theyre 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 Youll Be DoingOwn the technical success of enterprise deployments across thousands of PoS + edge devicesTroubleshoot end-to-end: AI model behaviour, device integrations, networks, cloud infra, on-device performanceAnalyse logs, metrics and telemetry (Grafana, Metabase) to pinpoint root causeWork hands-on with Linux, SQL, Docker, AWS/GCP/AzureLead pilots, rollouts and on-device testing across major retail estatesCollaborate with Engineering, ML, and Product to improve reliability + performanceManage incidents from first alert to identifying product-level bugsTranslate complex technical issues into clear, actionable guidance for enterprise retail clientsAct as the dedicated technical point of contact for strategic accountsIdeal BackgroundYoure 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. xjdpvnf You understand:Edge ML pipelines (training, validation, orchestration)Retail IT infrastructure (PoS, SCO, store networks)Integration frameworks (APIs, SDKs, cloud-edge sync)Technical RequirementsStrong troubleshooting across:SQLLinux / OS-level commandsDocker / containersCloud (AWS, GCP, Azure)Log analysis, performance monitoringDiagnosing issues across AI models, integrations, networks, device hardware, cloud layersHighly relevant backgrounds:Technical Support Engineer (L2/L3)Solutions EngineerPlatform Support Engineer / SRE-liteDeeply technical TAM (SaaS/AI/IoT)Experience with distributed systems, edge devices, IoT or ML/AI environmentsWhy JoinWork across AI, PoS vision, hardware, cloud, edge, distributed systemsMassive technical variety, no two issues look the sameDirect input into product decisionsEquity with meaningful upsideReal-world impact across thousands of retail devices globallyPerfect for engineers who want customer-facing work without sacrificing technical depthInterested?If youre a strong technical trouble shooter who thrives on autonomy, complex systems, and customer-facing support engineering in the world of RetailTech and PoS AI, wed love to speak with you.