обновлено 7 дней назад
Software Engineer on Platform (AI Infrastructure)
200 000 - 325 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer on Platform (AI Infrastructure): Scaling the core API and document processing pipelines that power an agentic document platform with an accent on throughput, latency, reliability, and cost efficiency. Focus on Kubernetes infrastructure, model-serving paths, observability, internal tooling, and leading platform projects as usage grows.
Location: San Francisco office, on-site
Salary: $200K–$325K annually, plus equity
Company
provides an agentic document platform for AI teams, combining custom and frontier models to power accurate, scalable document workflows.
What you will do
- Scale the core API and document processing pipelines for higher throughput and lower latency.
- Reduce infrastructure and model-serving costs while maintaining quality and reliability.
- Improve Kubernetes and containerized deployment workflows, observability, alerting, and operational safety.
- Build internal tooling, evaluations, and debugging workflows for faster failure detection and resolution.
- Partner with ML and backend engineers to optimize LLM and model-serving paths in production.
- Act as a technical lead for platform and backend projects as the team grows.
Requirements
- 5+ years of experience building, hardening, and scaling production backend or platform systems.
- Hands-on experience with distributed systems, Kubernetes or similar orchestration, cloud infrastructure, observability, and incident-driven reliability work.
- Strong Python skills, or deep expertise in another backend language with readiness to work primarily in Python.
- Experience with Terraform or infrastructure as code, containerized deployments, and production debugging.
- Fluency with LLM coding tools such as Claude Code, Codex, or Cursor.
- Experience leading projects or small teams and communicating with founders, engineers, and customers.
Nice to have
- Infrastructure experience at an early-stage or high-growth startup.
- Experience with AI infrastructure, model serving, agent platforms, developer tools, or high-throughput APIs.
- Meaningful experience with Terraform, Kubernetes, queues, Postgres, observability, or cloud cost optimization.
- Customer-facing experience or the ability to translate customer pain into platform improvements.
Culture & Benefits
- Early-stage environment focused on moving quickly and working hard.
- Unlimited paid time off.
- Daily free lunch at the office.
- Reimbursed transportation and health insurance covering medical, dental, and vision.
- Up to $150 per month for health and wellness expenses.
- Parental leave with a flexible schedule.
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