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# Backend/Platform Engineer

- **Company:** Typesafe AI Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $180,000.0 - $280,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Logic, Continuous Delivery, Distributed Systems, Python (Programming Language), Next.js, Software Engineering, TypeScript, Tailwind, Large Language Models, Backend, Kubernetes, Front End Software Development
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/senior-backend-platform-engineer-typesafe-ai-8295149

## About the Role

* Are responsible, ownership-inclined, and a team player - you believe there is no such thing as "other people's code", and will complain only the normal amount about pager duty
 * Have experience designing storage abstractions for scaled backend systems
 * Have experience designing resilient systems and improving on-call experience on production systems
 * Collaborate well with others on technical and product design, advocating for what you need, and adjusting specs to changing requirements and feedback
 * Are mission aligned and excited to go all-in
 * Love being part of a team

We are hoping that you

 * Have previously built big things
 * Have 5+ years of professional software engineering experience (3+ years of infra/backend) with a team with rigorous engineering standards
 * Have shipped backend services at scale with continuous delivery and uptime SLAs of at least 3 9s
 * Have designed and operated a developer-facing API service
 * Have experienced LLMs' capabilities and limitations from implementing them in the past

## Description

As a senior backend engineer, you will join the team responsible for building and maintaining TypeSafe's API platform for inference. These APIs will be user facing, latency sensitive, and (once we ship) have uptime, reliability and backwards compatibility requirements. You'll be wearing many different hats and working across different levels in our inference system, with particular depth in distributed systems and networking. Responsibilities include:

 * Define APIs for a new kind of AI inference experience and iterate on the design to ensure they are delightful to use
 * Create robust infrastructure for serving inference across multiple cloud providers
 * Define abstractions that will serve us moving forward as our billing needs and business logic needs grow
 * Work on exposing new model features to users

Our tech stack is primarily Python. We also use TypeScript, Next.js, and Tailwind CSS for frontend, with Kubernetes for orchestration. We empower developers to use any tooling they find helpful for getting their job done, including Claude Code and Codex.


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