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# AI-Native Full Stack Engineer

- **Company:** Oper
- **Location:** Antwerpen, Belgium
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software as a Service, Software Debugging, Django Web Framework, Python (Programming Language), Software Maintenance, Software Engineering, Data Streaming, Systems Integration, Value Engineering, Fastapi, AngularJS, Restful APIs, Microservices
- **Published:** October 8, 2026
- **Apply:** https://www.careerjet.be/jobad/be289a138b1c4d11093e1a3e13f61fa7ea

## About the Role

* 3 to 5 years of experience in software development.
 * Full-stack experience with Python (Django or FastAPI) on the back end and Angular on the front end.
 * Solid experience with REST APIs and integration work, comfortable shipping across the full stack from Angular front ends to Python services.
 * Experience building maintainable software in environments where requirements can be flexible, incomplete, or fast-changing.
 * Ability to translate business, product, and customer context into pragmatic technical choices.
 * Strong product sense: you care about the user journey, operational impact, and long-term maintainability, not only the code.
 * Awareness of security best practices and data protection principles, especially when working with financial or sensitive data.
 * Excellent communication skills, including the ability to explain technical trade-offs clearly to non-technical stakeholders.
 * Ambition to learn, experiment, and grow while staying humble and open-minded.
 * Fluency in English; additional languages such as Dutch, French, or German are a plus.
 * Experience in financial services, SaaS, mortgage technology, or a scale-up environment is a plus.

## Description

In this role, you will design, build, and ship product and customer-facing software across Oper's platform. You will work across the full stack, from back-end services, APIs, integrations, and data flows to front-end user journeys and internal tooling. Your work will span core product capabilities, customer-specific configuration, implementation accelerators, and automation that helps us deliver faster and better.
This is a role for someone who is AI-native: you use modern AI tooling as a core part of how you think, build, test, review, and ship. You are not joining a separate "CS engineering" or "product engineering" track. You will work where the highest-value engineering problems are, moving between product development, customer implementations, integrations, and operational tooling as priorities evolve.
Tasks, What you'll do

 * Build and improve full-stack features across Oper's platform, using Python on the back end and Angular on the front end.
 * Design and implement robust APIs, integrations, micro-services, data flows, and configuration logic.
 * Turn product, customer, and operational requirements into reliable technical solutions.
 * Work on both generic product capabilities and customer-specific implementation needs, avoiding unnecessary one-off work where a reusable pattern is possible.
 * Collaborate closely with Product, Engineering, Customer Success, and Operations to understand priorities, trade-offs, and delivery constraints.
 * Be comfortable working directly with customers, system integrators, and internal stakeholders when technical clarity is needed.
 * Own quality end to end: architecture, implementation, testing, review, deployment readiness, and operational follow-up.

Work AI-native
We expect you to use modern AI tooling as a real lever, not a curiosity.

 * Write code AI-first: agents produce a meaningful share of your code under your direction, while you own the architecture, integrations, review, and quality. We measure your output in shipped customer value, not hand-typed lines.
 * Build agentic workflows that do real work: scaffolding features and services from a spec, generating and running tests, drafting configuration logic, reviewing diffs, producing technical documentation, and accelerating debugging.
 * Use modern AI coding tooling as the default way you build, configure, test, and review, not as an occasional helper.
 * Identify where AI compounds your work and where it does not, and design your workflow accordingly.
 * Aim for a delivery cadence a non-AI-native engineer simply cannot match, and help us raise the bar on what an AI-native engineering function looks like at Oper.