Jobid: 645797279085430013 (0.0506)
Functie omschrijving
AI can write code. But can it think like a real software engineer?
Software development is changing rapidly. AI writes code, builds features and automates tasks that previously took engineering teams weeks or months. But great software requires more than code. Who defines the architecture? Who understands the dependencies between systems? And who makes sure today’s clever AI solution doesn’t become tomorrow’s scalability problem?
At InSpace, we’re looking for a Senior Software Engineer who combines the technical maturity of an experienced engineer with the curiosity and experimental mindset of an AI-native developer. Someone who doesn’t wait for the next Jira ticket, but identifies problems, designs solutions and takes responsibility for delivering them.
Welcome to InSpace. Where AI isn’t an experiment. It’s everyday reality.
InSpace is a fast-growing AI technology company with approximately 30 employees, based at the High Tech Campus in Eindhoven. Its AI-powered marketing platform helps businesses improve online visibility and automate complex marketing processes. Behind the platform lies a challenging technical environment, organised across five domains:
- Internal Dashboard: internal systems, insights and functionality.
- Publishing: automated content publication across websites.
- Content Generation: AI-driven content creation and processing.
- Aura Experience: applications focused on social content.
- NOVA: automated blog generation, publishing and related functionality.
The challenge is making these systems work together reliably, securely and at scale. Especially when AI behaves unpredictably. An LLM might deliver excellent results today and something completely different tomorrow. How do you validate its output, prevent hallucinations from affecting business-critical processes and keep thousands of automated workflows running reliably? These are the engineering challenges you’ll tackle. And not every problem comes with a ready-made solution.
Small teams. Big ambitions. Plenty of technical freedom.
InSpace believes that technically strong engineers, equipped with the right AI tools, can achieve more without continuously expanding development teams. With tools like Claude Code and Codex, the boundaries between Product Owners and Software Engineers are shifting. Engineers become involved earlier in understanding business challenges and take responsibility for the entire development process, from architecture and development to testing and delivery. As AI takes over repetitive coding tasks, experienced engineers can focus on what matters most: solving complex problems, making sound technical decisions and building systems that stand the test of time. You’ll work alongside engineers with backgrounds at AI startups and international technology companies. People who enjoy experimenting, challenging assumptions and building better solutions together.
What will you be doing?
You’ll develop and improve different parts of the InSpace platform, often working on functionality that doesn’t have an existing blueprint. Your responsibilities include:
- Software Architecture: designing scalable, reliable and maintainable solutions for complex product challenges
- Backend Engineering: building services, APIs, integrations and automated workflows.
- AI & LLM Systems: integrating AI applications into production and orchestrating workflows across multiple systems.
- AI Reliability: developing evaluation frameworks, guardrails, validation mechanisms and fallback strategies to manage unpredictable AI behaviour.
- Product Development: taking responsibility for features from initial concept through to production.
- Engineering Excellence: making technical decisions around performance, security, testing, monitoring and scalability.
- AI-Assisted Development: using modern AI tools to accelerate development without compromising software quality.
You’ll primarily work with TypeScript, Python and modern AI tooling. Experience with Java or comparable backend technologies is equally interesting. Strong engineering fundamentals and the ability to master new technologies matter more than a specific programming language. You don’t need to write every line of code yourself. You need to know whether what’s being built is actually any good.
Who are we looking for?
Some engineers can build impressive applications with AI in an afternoon but struggle to make them production-ready. Others have fifteen years of experience designing reliable systems but barely use AI beyond autocomplete. InSpace is looking for someone who combines the best of both worlds. You’ll probably recognise yourself in the following:
- Extensive experience as a Senior Backend Engineer, Lead Software Engineer, Staff Engineer or Software Architect, preferably in SaaS or cloud environments.
- Strong understanding of software architecture, system design and backend engineering.
- Experience taking complex technical solutions from concept to production.
- Hands-on experience with AI-assisted development, preferably including LLMs, AI agents or automated workflows.
- A solid understanding of scalability, security, reliability and maintainable software.
- The ability to identify technical risks, challenge assumptions and make well-founded decisions.
- An entrepreneurial, hands-on mindset with a strong sense of responsibility.
- A collaborative personality that thrives in an environment where not everything is predefined.
You don’t need to master every AI framework. An excellent software engineer who understands and actively uses AI is more valuable to InSpace than an AI specialist without strong software engineering fundamentals. And we don’t obsess over job titles or years of experience. Your technical depth, problem-solving ability and approach to engineering matter most.
No corporate comfort zone. But plenty of room to make a difference.
InSpace is growing rapidly, and that means freedom, responsibility and occasionally a little organised chaos. Not everything is documented. Priorities change. Sometimes you’ll need to figure things out yourself rather than follow an established process. That’s part of working in a company that’s still building its future. The culture is open, direct and collaborative. Good ideas don’t need approval from seven layers of management, but you should be able to explain why your solution makes sense.
Looking for predictable projects, detailed instructions and six months of carefully planned Jira tickets? InSpace probably isn’t your ideal employer. But if you enjoy technical challenges, making your own decisions and helping shape the future of AI-powered software, we should talk.
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