Platform Engineer SaaS

Posted 2 Days Ago
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Eindhoven, NLD
In-Office
Mid level
Artificial Intelligence • Machine Learning • Consulting • Automation
The Role
Own and extend the Blake AI SDR SaaS platform across database, API, frontend, integrations, and infrastructure. Build and deploy agentic AI integrations, connect third-party CRM and sales tools, improve reliability and scalability, and maintain CI/CD, monitoring, and alerting. The role requires full-stack development, architectural ownership, production delivery, and close collaboration with ML and AI engineers in a fast-paced startup environment.
Summary Generated by Built In
Company


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.


Who are we looking for?


We're looking for a Platform Engineer to join our core product team and take ownership of Blake - our AI SDR platform. You'll work directly with our founder to build, ship, and scale the product that's changing how founder-led companies do sales. This isn't a support role. You'll own large parts of the codebase, make architectural decisions, and see your work used by real customers the same week you ship it.


If you've ever wanted to be the technical backbone of a product that's gaining serious traction - before it gets crowded - this is it.


Responsibilities


Collaborate with our team to design, build, and deploy Agentic AI models that solve real-world business problems, from data preprocessing to model training and integration.

  • Own and extend the Blake platform end-to-end: from database layer to API to frontend. No waiting for handoffs.
  • Build and maintain integrations with third-party CRMs and sales tools so Blake connects to any existing workflow.
  • Improve platform reliability, performance, and scalability as our customer base grows - you'll feel it when something is slow before anyone reports it.
  • Collaborate closely with our ML and AI engineering team to connect the discovery engine, scoring models, and outreach generation into a seamless product experience.
  • Set up and maintain CI/CD pipelines, monitoring, and alerting to keep the platform production-grade.
  • Make pragmatic technical decisions. We value working software over perfect architecture. You'll build for today's 100 customers and tomorrow's 1,000.

We keep things flexible: remote-friendly hours mean you can balance work with life, and as a startup, we're not bogged down by bureaucracy. You'll have the freedom to experiment and learn quickly.


Minimum Qualifications


  • 3-5 years of professional experience building and shipping web applications in production.
  • Strong proficiency in modern TypeScript and component-based frontend frameworks.
  • Hands-on experience with relational databases, ORMs, and schema migration workflows.
  • You've built or maintained API integrations with third-party platforms.
  • Comfortable working across the full stack: you can design a database migration in the morning and fix a UI bug in the afternoon.
  • You understand what it means to ship in a small team: dedicated QA through AI, but no separate DevSecOps - you own what you build.
  • Fluency in English. Dutch is a plus but not required.

We're most interested in your potential and if you have an entrepreneurial mindset.


Preferred Qualifications


These would make you stand out, but they're not deal-breakers - we're a startup, so we're betting on growth:

  • Experience with serverless deployment and edge computing patterns.
  • Familiarity with integrating AI/ML APIs into product workflows.
  • You've worked on a multi-tenant SaaS product.
  • Experience with real-time features: streaming responses, webhooks, event-driven systems.
  • You've been employee #1-10 at a startup before and know what that means: ownership, speed, and wearing multiple hats.
  • A portfolio, distinct rewards through sports, or academic prestiges, or GitHub that shows you build things, not just talk about them.


How to Apply


Please submit your application using the form below.


We review applications on a rolling basis and encourage candidates from diverse backgrounds to apply. Subduxion is an equal opportunity employer committed to inclusive and fair hiring.

Skills Required

  • 3-5 years of professional experience building and shipping web applications in production
  • Strong proficiency in modern TypeScript and component-based frontend frameworks
  • Hands-on experience with relational databases, ORMs, and schema migration workflows
  • Experience building or maintaining API integrations with third-party platforms
  • Ability to work across the full stack, including database, API, and frontend development
  • Ability to own software delivery without separate DevSecOps support
  • Fluency in English
  • Dutch language proficiency
  • Experience with serverless deployment and edge computing patterns
  • Familiarity with integrating AI/ML APIs into product workflows
  • Experience working on a multi-tenant SaaS product
  • Experience with real-time features, streaming responses, webhooks, or event-driven systems
  • Prior experience as an early-stage startup employee
  • Portfolio, GitHub, or other evidence of building software projects
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The Company
6 Employees
Year Founded: 2025

What We Do

Subduxion is a European AI consulting company and managed solutions provider based at Eindhoven’s High Tech Campus. It helps organizations turn AI’s promise into practical results by combining scientific expertise, software development, data, security, and engineering. The company designs, builds, and operates AI agents, intelligent workflows, and automation, guiding clients from idea through production while addressing adoption challenges, legacy technology, and the gap between knowing and doing.

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