TL;DR

Staff Software Engineer, AI Platform (AI): Building and scaling resilient systems and infrastructure to power production-grade applications, including those based on LLMs with an accent on reliability, observability, and performance. Focus on mentoring engineers and setting engineering best practices.

Location: This is a hybrid role with 3 days per week spent collaborating with the team in the office. We are open to applicants located in either the San Francisco Bay Area or the Greater Toronto Area.

Salary: $133.3K – $303.6K (San Francisco) or CA$109.2K – CA$265.1K (Toronto)

Company

%hirify_global% is on a mission to close the justice gap using technology and AI, empowering personal injury lawyers and victims to get the justice they deserve.

What you will do

Deliver high-quality, maintainable code using a modern tech stack.
Lead the architecture, design, and delivery of resilient, scalable systems and infrastructure, including those based on large language models.
Set technical direction for complex projects, owning outcomes end-to-end.
Mentor engineers, setting engineering best practices.
Partner cross-functionally with Product, ML, and Infrastructure teams to translate product needs into engineering solutions.
Influence platform and infrastructure roadmaps with a long-term view of scalability and maintainability.

Requirements

10+ years of software engineering experience, including 2+ years in a Staff or equivalent senior technical leadership role.
Deep expertise in building and scaling distributed systems and internal platforms.
Proven experience in driving complex technical initiatives with strong system design skills.
High standards for code quality, system design, and software architecture.
Strong proficiency in Python and/or experience in additional languages.
Clear, structured communication and the ability to influence stakeholders.

Nice to have

Experience in AI/ML systems, legal tech, or mission-driven, social impact-oriented engineering work.
Prior work with LLM-powered systems, AI platforms, or developer enablement tooling in ML-heavy environments.

Culture & Benefits

Choice of medical, dental, and vision insurance plans.
Flexible paid time off, sick leave, and disability options.
Home office stipend.
401(k) for US-based employees and RRSP for Canada-based employees.
Paid parental leave.
Hubs in San Francisco and Toronto.