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Agent F GmbH is looking for a senior full-stack engineer to own the data and infrastructure that power customer features. You will extend data models, build services and APIs, and ensure reliable background processing across production systems.
You'll work on entire product areas from the interface to the database, tackle slow reports, failed imports, and ensure data integrity for customers as automation and AI features expand.
About Agent F Agent F is building an autonomous finance function: software that takes on the work of keeping a company's finances in order. That means bringing information together from different systems, recording transactions correctly, preparing useful reports, and helping people understand what needs their attention. Today, much of this work depends on spreadsheets, repeated data entry and people checking one system against another. Our ambition is to make that work increasingly automatic, while keeping every number explainable and every consequential action under clear control. We are building towards a complete business management system for growing companies. These founding roles will shape both the product and the way we build it.
You will be a full-stack engineer, shipping customer features across the interface, application services and database. Your particular strength will be the data and infrastructure that make those features dependable: how records are stored, how imports and background jobs run, and how information moves between Agent F and a customer's other tools. You will help build and operate the whole product, with deeper ownership of this foundation. This is hands-on full-stack engineering. A typical piece of work could involve extending a data model, implementing an application service, connecting it to a screen, testing it against a real database and following the release into production. You will also investigate slow reports, failed imports and jobs that stop halfway through, then improve the system so it handles those situations reliably. That foundation also supports our AI work. As we add document extraction, connected customer knowledge and software that takes actions for customers, you will build the services and data access those features need. The immediate priority is dependable software that customers can use, with more capable automation developed around specific tasks.
You have seven or more years of software engineering experience, including substantial ownership of production applications and data systems. You have designed relational data models, built services and processing pipelines, and stayed responsible for them after release. You are comfortable delivering across the stack and using AI tools in your daily work. You can explain how you diagnosed a slow query, recovered a failed job or shipped a database change safely. You understand what happens when two requests arrive at once, a dependency becomes unavailable or a process restarts halfway through its work. You can follow a problem from a source record through the application to the result a customer sees.