About the role
Location: 100% Remote in Poland Type: This can be structured as a B2B contract or as an Employment Contract with full
benefits. Salary: $117,000 - $133,000 + stock options. Focal Systems builds AI camera networks for grocery retail. Hundreds of stores, major UK and European chains, and a customer list that keeps growing faster than most companies our size would attempt. The computer vision market is moving, and we're one of the few places actually deploying it at scale - not on slides, but in stores equipped with hundreds of shelf edge cameras that change how store teams do their jobs every shift. Our Customer Integration team has taken every major retailer we've signed through production — and as we add more customers, we’re looking for a senior engineer to lead high-quality deployments, own onboarding and integrations end-to-end, and help define how this function grows.
What You'll Do Work with a real distributed AI system at scale — when a retailer's report is wrong, a pipeline is silently dropping events, task counts diverged somewhere between Kafka, Redis, MySQL, and MongoDB, you'll own the challenged end-to-end, not hand it off after one layer. Bring new customers live — map their data formats to ours and validate pipelines held up at 10 stores before scaling up to 100 and then a 1000. Manage live production configuration for dozens of active deployments — granular store configurations, feature flags and so on — where a single mistake can impact shelf monitoring across thousands of stores and be presented in a retailer's morning report. Build tooling that removes the manual work — identify the patterns and build the systems that make the next deployment faster than the last one. Work directly with customers when something goes wrong — explain what happened, own the fix, and close the loop. What You'll NOT Do Act as the first line of technical support.
What We're Looking For Ownership. When a customer has a problem, you don't wait for it to get assigned.You’ll pick it up, see it through end-to-end,, and close the loop. 4+ years of hybrid experience . You’ve written real production code and worked directly with external stakeholders. That could be integration or solutions engineering, a consultancy role with direct client work, freelancing on real production systems, or a technical role at a startup where you wore multiple hats. What matters is that you've shipped code and been accountable to someone outside the engineering org. Strong Python. Pandas and NumPy are second nature. You default to an API-first mindset — designing clean contracts, composable interfaces, and avoiding one-off scripts that don’t scale.. Systems thinking. You can hold a complex distributed system in your head, decompose a messy customer problem into its parts, and come back with a solution — often one nobody else saw because they were closest to it. Solid SQL and data work. Diagnostic queries, tracing data inconsistencies, building ETL and transformation pipelines, following data across systems. You reach for SQL before you reach for a ticket. Working knowledge of distributed systems . Kafka, async pipelines, caching layers. You don't need to design them. You need to understand how they behave and figure out why data stopped flowing through them. Clear technical communication. You can explain a root cause to a non-technical customer or stakeholder without jargon, and explain a customer's actual problem to an engineer without losing the detail.
