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AI Summary

The Senior Software Engineer will design, build, and maintain scalable software systems for AI-driven products. They will collaborate with data scientists and product teams to integrate AI models and ensure high performance and reliability.

Steradium is a technology company focused on turning advanced artificial intelligence into practical solutions for businesses. Our team members collaborate in a modern, fast-paced environment that values curiosity, problem-solving, and continuous learning. We're currently building an AI-native engineering team from the ground up.

What you'll do

  • The Senior Software Engineer will design, build, and maintain scalable software systems that power Steradium’s AI-driven products and services.

  • Day-to-day responsibilities include implementing robust back-end services, writing clean and testable code, reviewing code from peers, and contributing to architectural decisions for new and existing platforms.

  • The role also involves collaborating with data scientists and product teams to integrate AI models, optimize performance, and improve reliability.

  • This is a full-time remote role, requiring strong communication skills, ownership of deliverables, and the ability to work effectively in a distributed team environment.

What we're looking for

  • Strong foundation in Computer Science, including algorithms, data structures, and software design principles.

  • Hands-on experience with software development using modern languages and frameworks to build production systems.

  • Expertise in Back-End Web Development, including APIs, microservices, and database integration.

  • Solid fundamentals in data modeling, async behavior, caching, HTTP semantics, and authentication.

  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization/orchestration tools (e.g., Docker, Kubernetes).

  • Comfort with version control (Git), CI/CD pipelines, and automated testing practices.

  • Ability to lead technical initiatives, mentor other engineers, and contribute to architectural decisions.

  • Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent practical experience.

  • Experience working on AI/ML-powered products or data-intensive systems is a plus.

How we work with AI

  • Every engineer here has Claude Code in their daily loop. We measure output in shipped, reviewed, production-grade work, not in hand-typed lines.

  • Everyone can use AI assistants for scaffolding, refactors, test generation, and exploring unfamiliar codebases, but you own every line that ships with your name on it.

  • We expect everyone to know and understand where AI is unreliable: subtle concurrency, security boundaries, domain logic, anything where being confidently wrong is expensive.

What we offer

  • Competitive salary package and 13th month pay

  • Government-mandated benefits (SSS, PhilHealth, Pag-IBIG)

  • Flexible working arrangements

  • Annual learning budget plus company-provided AI tooling

  • Mentorship program

  • No graveyard shift, no mandatory overtime

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