Senior Software Engineer (AI Infrastructure)

What You'll Do 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 Who You Are 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 Nice to Have 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 Why Join Us 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