Ingeniero de Software Senior (Infraestructura de IA)

About the Role

What if your engineering skills shaped the platforms behind the AI revolution directly? We're hiring Senior Software Engineers in Mexico City. You'll design, build, and scale the infrastructure that powers AI products used by millions of people worldwide. High-impact, technically challenging work — the kind that keeps strong engineers engaged. Real architectural problems. Code that matters. Collaboration with sharp minds in AI research and engineering. This is a fully remote, flexible contract role. If you thrive on autonomy, write clean and scalable code, and want to work at the frontier of technology — we want to hear from you.

• Type: Hourly Contract
• Location: Remote
• Commitment: 20–40 hours/week

What You'll Do

• Design, develop, and maintain production-grade software systems that support AI training, evaluation, and deployment pipelines
• Write clean, well-tested, performant code in Python, TypeScript, or other modern languages
• Build and optimize APIs, data pipelines, and backend services that run reliably at scale
• Architect solutions that balance speed of delivery against long-term maintainability
• Troubleshoot complex technical issues across distributed systems and cloud infrastructure
• Collaborate asynchronously with cross-functional teams — 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 language — Python, TypeScript/JavaScript, Go, Java, or similar
• Solid grasp of software architecture, design patterns, and system design principles
• Experience building and deploying backend services, APIs, or data-intensive applications
• Comfortable 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 navigate ambiguity and find root causes fast
• Excellent written communication — you document decisions, explain tradeoffs, and collaborate in an async-first setting
• 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 It's Worth Your Time

• Work on AI infrastructure alongside leading 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
• Collaborate with a global community of strong engineers and researchers
• Potential for ongoing work, expanded scope, and long-term contract extension as projects grow