Key skills
KubernetesAIGenerative AILLMData EngineeringMentoring
About this role
Role Overview
- Lead the design, development, and optimization of robust frontend systems for deploying LLM-based algorithms and services.
- Manage projects through their complete lifecycle—from architecture to deployment, monitoring, and improvement.
- Work with other engineering teams to understand use cases and deliver scalable platform solutions.
- Develop high-quality, maintainable code using a modern tech stack.
- Grow as an engineer working alongside world-class peers on impactful, cutting-edge generative AI projects.
Requirements
- 5-10+ years of experience with backend or frontend engineering, working with relational databases and/or other database technologies
- Have several years of industry experience building high-quality software, shipping production-ready code and infrastructure.
- Ability to communicate technical ideas or issues in easy-to-understand and actionable terms.
- Learn quickly and are seeking opportunities to work cross-functionally (including data engineering & DevOps) and with a diverse group of people.
- Experience owning a project from start to finish and loves to drive a project across the finish line.
- Demonstrated success in mentoring and upleveling teammates.
- Engineering excellence
- you’ve helped build what “great” looks like at scale (both product + team culture).
- Kubernetes experience is a plus!
Tech Stack
- Kubernetes
Benefits
- Choice of medical, dental, and vision insurance plans for you and your family.
- Additional insurance coverage options for life, accident, or critical illness.
- Flexible paid time off, sick leave, short-term and long-term disability.
- 10 US observed holidays, and Canadian statutory holidays by province.
- A home office stipend.
- 401(k) for US-based employees and RRSP for Canada-based employees.
- Paid parental leave.
- A local in-person meet-up program.
- Hubs in San Francisco and Toronto.