AI Summary
Join Alignerr as a Senior Software Engineer to design and build production-grade infrastructure powering cutting-edge AI products used by millions worldwide. You'll develop scalable backend systems, APIs, and data pipelines while collaborating with ML engineers and researchers in a fully remote, flexible contract role. The position requires 5+ years of software engineering experience, proficiency in Python or TypeScript, and expertise with cloud platforms and distributed systems.
Key Highlights
Fully remote, flexible contract role with 20-40 hours per week commitment
Work on high-impact AI infrastructure with world-class research and engineering teams
High autonomy and ownership with no micromanagement, potential for long-term extension
Key Responsibilities
Design, develop, and maintain production-grade software systems that support AI training, evaluation, and deployment pipelines
Write clean, well-tested, and performant code in Python, TypeScript, or other modern languages
Build and optimize APIs, data pipelines, and backend services that operate reliably at scale
Architect solutions that balance speed of delivery with long-term maintainability
Troubleshoot complex technical issues across distributed systems and cloud infrastructure
Collaborate asynchronously with cross-functional teams including ML engineers, researchers, and product managers
Participate in code reviews and contribute to engineering best practices across the team
Work independently on well-scoped projects with meaningful ownership and autonomy
Technical Skills Required
Benefits & Perks
Fully remote and flexible work arrangement - work from anywhere
High autonomy and meaningful engineering ownership
Potential for ongoing work and long-term contract extension
Nice to Have
Experience with ML/AI infrastructure including training pipelines, model serving, or evaluation frameworks
Familiarity with large-scale data processing tools such as Spark, Kafka, or Airflow
Background in distributed systems, microservices architecture, or event-driven design
Experience with infrastructure-as-code tools like Terraform or Pulumi, or Kubernetes
Contributions to open-source projects or public technical portfolio
Previous experience in remote-first or async-heavy engineering culture
Job Description
About The Role
What if your engineering skills could directly shape the platforms and systems behind the AI revolution? We're looking for Senior Software Engineers in Amsterdam and across the Netherlands to design, build, and scale the infrastructure that powers cutting-edge AI products used by millions of people worldwide.
This is high-impact, technically challenging work — the kind that keeps great engineers engaged. You'll tackle real architectural problems, write code that matters, and collaborate with some of the sharpest minds in AI research and engineering.
This is a fully remote, flexible contract role. If you're an experienced engineer who thrives on autonomy, writes clean and scalable code, and wants to work at the frontier of technology — we want to hear from you.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 20–40 hours/week
- Design, develop, and maintain production-grade software systems that support AI training, evaluation, and deployment pipelines
- Write clean, well-tested, and performant code in Python, TypeScript, or other modern languages
- Build and optimize APIs, data pipelines, and backend services that operate reliably at scale
- Architect solutions that balance speed of delivery with long-term maintainability
- Troubleshoot complex technical issues across distributed systems and cloud infrastructure
- Collaborate asynchronously with cross-functional teams — including ML engineers, researchers, and product managers
- Participate in code reviews and contribute to engineering best practices across the team
- Work independently on well-scoped projects with meaningful ownership and autonomy
Interested in remote work opportunities in Development & Programming? Discover Development & Programming Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- 5+ years of professional software engineering experience
- Strong proficiency in at least one modern programming language — Python, TypeScript/JavaScript, Go, Java, or similar
- Solid understanding of software architecture, design patterns, and system design principles
- Experience building and deploying backend services, APIs, or data-intensive applications
- Comfortable working with cloud platforms (AWS, GCP, or Azure) and containerized environments
- Familiar with version control (Git), CI/CD workflows, and modern development tooling
- Strong debugging and problem-solving skills — you can navigate ambiguity and find root causes efficiently
- Excellent written communication skills — you can document decisions, explain tradeoffs, and collaborate effectively in an async-first environment
- Self-directed and reliable — you manage your own time and deliver consistently without close supervision
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- Experience with ML/AI infrastructure — training pipelines, model serving, data annotation platforms, or evaluation frameworks
- Familiarity with large-scale data processing tools (Spark, Kafka, Airflow, or similar)
- Background in distributed systems, microservices architecture, or event-driven design
- Experience with infrastructure-as-code (Terraform, Pulumi) or Kubernetes
- Contributions to open-source projects or a public portfolio of technical work
- Previous experience in a remote-first or async-heavy engineering culture
- Work on cutting-edge AI infrastructure alongside world-class research labs and engineering teams
- Fully remote and flexible — set your own schedule and work from anywhere
- Tackle genuinely hard technical problems with real-world impact at scale
- High autonomy and ownership — no micromanagement, just meaningful engineering work
- Collaborate with a global community of top-tier engineers and researchers
- Potential for ongoing work, expanded scope, and long-term contract extension as projects grow
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