Job
In this role, you will develop reliable software solutions, manage data models, implement APIs, handle integrations, and ensure performance across the stack, including testing and production support.
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Your role in the team
- 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 entire 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 action on behalf of customers, you will build the services and data access these features need.
- The immediate priority is dependable software that customers can use, with more capable automation developed around specific tasks.
- Build the logic and application programming interfaces (APIs) that connect records, business rules and screens.
- Take features through implementation, testing, release and production support.
- Design clear data models, enforce relationships and transaction boundaries, and improve slow queries.
- Manage schema changes through reviewed migrations, preserve financial history, and keep each customer's data isolated.
- Connect accounting tools, business systems and spreadsheets to a consistent model.
- Validate incoming records, handle changing source formats, and check that imported totals and reports agree with the source.
- Build scheduled jobs and workers that process work outside a user request.
- Handle retries without creating duplicates, resume interrupted runs, and make progress and failures visible to the team.
- Diagnose expensive queries, processing bottlenecks and partial failures.
- Test changes against real databases, plan for growing workloads, and work with the platform engineer to build procedures for safely recovering processing.
- Add features such as extracting invoice fields or preparing an order from approved business data.
- Give models access through controlled services, check the results, and require approval where needed.
- Develop connected customer knowledge when a feature needs those relationships, and measure whether it improves the result.
Our expectations of you
Education
- A degree in computer science or computer engineering, or equivalent practical experience.
Qualifications
- You have designed relational data models, built services and processing pipelines, and remained 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 safely deployed a database change.
- 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.
- Full-stack development with TypeScript, Node.js, React and PostgreSQL, or closely comparable technologies.
- Relational data modeling, SQL, query optimization, indexes, transactions, and reviewed database migrations.
- Application services and APIs, including permissions, validation, and handling concurrent requests.
- Data imports, integrations and background jobs, including queues, safe retries and recovery from partial failures.
- Production debugging, service monitoring and performance work on systems used by real customers.
- Automated tests against real databases and other service dependencies.
- Practical use of AI in software, with an understanding of how to verify outputs and control access to customer data.
- Daily use of AI coding agents, with direct responsibility for code review and verification.
Experience
- You have seven or more years of software engineering experience, including substantial ownership of production applications and data systems.
What we offer
- The role is full-time and in-person in Berlin.
- German is not required.
Topics you will work on
Job locations
About your employer
Agent F GmbH, based in Berlin, is an advanced company specializing in the development of AI-driven ERP software. This software aims to enhance the financial and business processes of European start-ups as well as small and medium-sized enterprises. By automating bookings and generating reports, Agent F simplifies the management of corporate data.
- Startup
- Internet, IT, Telecommunication
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