Senior Software Engineer (AI Infrastructure) (Remote)

Senior Software Engineer (AI Infrastructure)

Company Overview

Alignerr is a company focused on training the next generation of AI, connecting experts with cutting-edge AI infrastructure projects.

Job Summary

We're looking for Senior Software Engineers in Berlin to design, build, and scale the infrastructure that powers cutting-edge AI products used by millions of people worldwide. This is a fully remote, flexible contract role offering 20–40 hours/week.

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

Requirements / Qualifications

• 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

Preferred Qualifications

• 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

Location

Berlin, Remote: True

Employment Type

Flexible

Salary & Benefits

• $20-100/hr
• Weekly payouts
• Fully remote and flexible schedule