11 days ago
Responsibilities
- Build and operate scalable backend services and internal APIs for the AI platform.
- Integrate LLMs and AI tool execution into reliable, production-ready workflows.
- Own production reliability for AI platform infrastructure through observability, alerting, and incident response.
- Improve performance and cost efficiency of AI runtimes through profiling, tuning, and capacity planning.
- Contribute to shared infrastructure including CI/CD, observability, and deployments.
Requirements
- 5+ years of experience in Python backend development and systems design.
- Experience shipping AI-powered or LLM-integrated backend systems.
- Comfort working across multiple layers including services, data, infrastructure, and AI tooling.
- Experience with cloud infrastructure such as AWS, GCP, or Azure and Infrastructure as Code tools like Terraform or Pulumi.
- Experience with distributed systems and asynchronous processing.
- Familiarity with AI or data-heavy services where reliability and cost matter at scale.
Benefits
- Competitive salary and meaningful equity opportunities.
- Healthcare, dental, and vision coverage.
- 401(k) / RRSP enrollment program.
- Take what you need PTO.
- A culture that values meritocracy and celebrates ideas and effort.