Software Engineer Intern; Applied AI Systems
Listed on 2026-05-14
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Software Development
AI Engineer, Backend Developer
Software Engineer Intern (Applied AI Systems)
At Subduxion, we're a dynamic startup on a mission to create real value for organizations through cutting‑edge technological advancements, with a strong focus on Agentic AI. We're building intelligent systems that go beyond traditional AI, empowering businesses to automate complex processes and make smarter decisions.
Located at the heart of innovation on the High Tech Campus - Europe's smartest square kilometer - we're a small, entrepreneurial team that's all about collaboration, risk‑taking, and authentic relationships. As a startup, we're flexible, fast‑paced, and full of opportunities for you to make an immediate impact. If you're passionate about turning data into actionable AI solutions and bridging the gap between client needs and tech implementations, this is your chance to grow with us in the age of AI.
Whoare we looking for?
We’re looking for a hands‑on, curious Software Engineer Intern who wants to see how AI becomes reality - not just through models, but through system thinking. You’ll work across AI integrations, backend services, and automation workflows that power our agentic architectures. You don’t need years of experience. You need the mindset of a builder: someone who wants to understand how data, design, and logic connect to create client value.
Exceptional interns who share our drive often continue their mission with us after graduation.
ResponsibilitiesCollaborate with our team to design, build, and deploy Agentic AI models that solve real‑world business problems, from front‑end development to API integration.
- Work with our engineering and AI consulting teams to design and implement intelligent software components for AI‑powered products.
- Build and test backend APIs, data pipelines, and workflow orchestration modules that connect large language models with enterprise data.
- Collaborate on the development of internal tools for model monitoring, evaluation, and interaction (think copilots, assistants, and automation agents).
- Translate client and internal requirements into clean, efficient, and scalable software designs.
- Participate in code reviews, architecture sessions, and product demos to refine both technical and strategic perspectives.
- Support proof‑of‑concept implementations for clients — from concept validation to integration and deployment.
- Continuously learn and experiment with emerging frameworks for generative AI, vector‑based retrieval, and workflow automation.
We keep things flexible: remote‑friendly hours mean you can balance work and study. As a startup, we’re not bogged down by bureaucracy - you’ll have the freedom to experiment, fail fast, and learn even faster.
Minimum QualificationsWe're keeping our bar realistic for intern‑level talent:
- You’re in the final year of your MBO, HBO, or university program in Software Engineering, Computer Science, Artificial Intelligence, or a related technical field - ready to apply what you’ve learned.
- Proficiency in Python or Type Script , with some experience building or integrating APIs and working with modern frameworks.
- Understanding of data structures, version control (Git), and backend or cloud‑based systems.
- Interest in AI integration
, automation or large‑scale data applications. - Strong problem‑solving mindset, proactive communication, and ability to work in a fast‑moving environment.
- Fluency in English (Dutch is a plus).
We’re more interested in your potential and entrepreneurial mindset than in years of experience - if you’ve built something meaningful or learned by doing, we want to hear from you.
Preferred QualificationsThese would make you stand out, but they're not deal‑breakers - we're a startup, so we're betting on growth:
- Some experience with AI integration frameworks, orchestration, or workflow automation tools.
- Exposure to cloud environments (
Azure, AWS, or GCP
) and distributed data processing. - Familiarity with LLM APIs, vector databases
, or building data‑driven applications. - Understanding of modern architecture concepts (microservices, event‑driven systems, or data pipelines).
- An entrepreneurial mindset - maybe you’ve built your own app, contributed to open source, or joined a…
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