Senior AI-Native Developer

OutSystems; Portugal; Presencial; EUR 40 000 - 60 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Professional Development Fund

Structured growth programs

Collaborative environment with industry experts

Resumo da oferta

OutSystems is seeking a developer to take technical ownership of a portfolio of live products and SaaS. You will innovate and maintain products, connecting AI tools and ensuring they deliver trustworthy outputs in production.

The ideal candidate will have 3+ years of development experience, particularly in AI-augmented methods, and should be comfortable with integration fundamentals. Join our team and be part of a revolution!

Qualificações

• 3+ years of development experience with depth in one area and curiosity across others.
• Strong integration fundamentals and comfort with rough briefs.
• Active practitioner of AI-powered tools like Claude or Copilot.

Responsabilidades

• Own features and integrations that ship to production.
• Validate AI-generated code before it merges.
• Ensure LLM integrations work under real conditions.

Conhecimentos

AI-augmented development

Integration fundamentals

REST APIs

JSON

Error handling

Descrição da oferta de emprego

About the OutSystems Digital Team

We are the digital backbone of OutSystems' growth — building the enterprise applications, integrations, and AI agents that accelerate the company into the AI‑powered era. We work in small, high‑autonomy teams of two to five people, each with full AI tooling, a clear mission, and the authority to ship.

The Role

You will join an existing team and take technical ownership of a portfolio of live products and SaaS, while spending most of your energy building new things that did not exist before. The balance we aim for is roughly seventy percent innovation (new agents, new integrations, new capabilities) and thirty percent maintaining and evolving what is already running. The binding constraint on what you produce is judgment – your ability to direct AI tools toward correct, production‑ready output, validate what comes back, and iterate with precision.

What You Will Own

• Features and integrations that ship to production – real users, real consequences, and your name on them
• Quality of AI‑generated code before it merges – you develop the instinct to distinguish correct from plausible and apply it before anything reaches production
• LLM integrations that hold under real conditions – connecting Claude, GPT, or other models via OutSystems' secure API gateway in a way that works in production, not just in demos
• AI agents built on OutSystems Agent Workbench that run unsupervised on real enterprise workflows and produce output that is trustworthy, not just impressive
• Your share of the existing portfolio – understanding the applications the team maintains well enough to extend them without accumulating hidden debt
• Shared context that makes the whole team faster – documenting decisions and patterns so that the team's AI tools operate with full enterprise context; treating documentation as compound interest

The Behaviors We Are Looking For

• You build first and sharpen later. Given a rough brief, you start building and let requirements clarify through iteration. You do not wait for a complete specification before producing something real.
• You distinguish correct from plausible. You have used AI tools enough to know that output which looks right is not always right. You have caught the difference and you apply that instinct before anything ships.
• You own what you ship. You do not hand something off and move on. You care whether it works in production, whether it holds under load, whether it solves the actual problem — including in systems you inherited rather than built.
• You find a way around walls. When you hit a blocker, you try before you ask. When you do ask, you arrive with what you have already tried and what you have already ruled out.
• You share context generously. In a small team, what you know is a shared asset. You document, you flag assumptions, you explain your reasoning. You understand that a well‑contextualized AI tool produces better output for everyone, not just for you.
• You are honest about what you do not know. In a team of five, a gap in understanding that goes undeclared becomes a gap in the product. You surface uncertainty rather than hiding it behind confident‑sounding output.

Experience

• 3+ years of development experience, with depth in at least one area – integration, data, UI – and genuine curiosity across others
• Active practitioner of AI‑augmented development – you use Claude, Cursor, Copilot, or similar tools as a core part of how you build, not as an occasional shortcut
• Strong integration fundamentals: REST APIs, JSON, authentication patterns, error handling under real conditions
• Comfortable producing something from a rough brief and sharpening it through iteration

Bonus

• Experience with OutSystems Mentor or AI Agent Builder
• Familiarity with prompt engineering patterns and LLM context window management
• Prior experience in a high‑autonomy environment where every person's output is visible and tested daily
• Domain knowledge in finance, insurance, healthcare, or logistics

This Is Not For You If

• You treat AI tools as an occasional shortcut rather than the primary way you build
• Ambiguity stalls you – you need complete requirements before you can start
• You consider maintaining and evolving existing systems to be below your level
• You have never caught an AI tool producing output that looked right but wasn’t – or you have, and it did not change how carefully you review
• You prefer to discuss what to build over shipping something testable and learning from it

Growth Path

High performers in this role move into technical leadership within 12 to 18 months, or into specialist roles in AI agent design or enterprise context engineering – disciplines that barely existed two years ago and are among the highest‑leverage skills in the industry today. We will show you who has already made that move.

Why Join

The skills you will develop here – context engineering, AI agent validation, enterprise‑grade agentic development – are not in any curriculum. You will learn them by applying them in production, on real systems, alongside people who are figuring them out at the same frontier. If you want to be one of the first people in the industry who actually knows how this works – not in theory, but in production – this is where you do it.

Benefits

• A company at the vanguard of the agentic revolution, where we don’t just react to AI innovation – we architect it. Joining OutSystems means stepping onto a high‑growth rocket ship that combines the fearless agility of a startup with the sophisticated, global foundation of an enterprise powerhouse.
• Real growth opportunities. We don't just talk about development; we invest in it through structured programs designed to scale your expertise. Whether you are aiming for vertical progression, exploring lateral moves into new domains, or mastering specialized AI skills through our Professional Development Fund and Internal Mobility Program, we provide the resources to get you there.
• A global collective of world‑class talent, where you’ll collaborate with enterprise software legends and sought‑after thought leaders. At OutSystems, our industry experts aren't just visionaries – they are accessible, approachable mentors who are deeply invested in your growth as we architect the agentic future together.

Equal Opportunity Employer

OutSystems nurtures an inclusive culture where talented individuals from all backgrounds are empowered to learn, experiment and make an impact. We are committed to building a team as global and diverse as the organizations we serve, ensuring every individual can perform to their full potential. As an equal‑opportunity employer, all qualified applicants receive equal consideration regardless of race, origin, religion, sex, sexual orientation, gender identity, disability, veteran status, or any other protected status.