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5 дней назад

Senior Backend Engineer (AI Inference Platform)

200 000 - 250 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Backend Engineer (AI Inference Platform): Building and scaling an inference gateway that routes model calls across hosted providers and proprietary models with an accent on cost, latency, availability, caching, and accurate usage metering. Focus on serving-stack performance, request-path enforcement, streaming failure handling, and single-digit-millisecond routing decisions.

Location: Remote anywhere in the United States; preference for candidates in the San Francisco Bay Area or New York, where company offices are located.

Salary: $200,000–$250,000 USD per year

Company

hirify.global builds AI search infrastructure, retrieval systems, and knowledge-layer products for AI agents, applications, and enterprise workflows.

What you will do

  • Own and scale the inference gateway through which product and customer model calls are routed.
  • Build provider and model selection, fallback, caps, and autonomous model-routing capabilities.
  • Optimize routing using prefix-cache behavior, batching, time to first token, cost, and availability.
  • Implement accurate cost attribution and usage metering, including cached-token accounting.
  • Build request-path enforcement that fails gracefully without interrupting customer inference calls.
  • Ship inference-time changes in shadow mode and measure their production impact.

Requirements

  • Production experience with model-serving stacks such as vLLM, SGLang, or similar platforms.
  • Working knowledge of continuous batching, KV and prefix caching, time to first token, throughput, and p99 performance.
  • Experience tuning serving infrastructure against live traffic.
  • Fluency with provider APIs, tokenization, prompt-caching semantics, usage reporting, and pricing differences.
  • Experience operating a proxy, gateway, or data plane on the critical path of production traffic, including streaming responses and mid-stream failures.
  • Strong backend skills with Python and Kubernetes, with the ability to learn additional technologies as needed.

Nice to have

  • Experience at an inference provider or GPU cloud, or contributions to an open-source serving stack.
  • Experience fine-tuning and evaluating models in production.
  • Experience with usage metering, billing, or cost optimization at scale.

Culture & Benefits

  • San Francisco and New York hubs offer in-person gatherings and co-working sessions.
  • Flexible PTO, U.S. holidays, and an end-of-year shutdown in December.
  • Health insurance covering 100% of the policyholder and 75% of dependents.
  • 12 weeks of paid parental leave in the U.S., a 401(k) program with a 3% immediate vesting match, and wellness benefits.
  • Work-from-home and technology stipends, including support for cell phone and internet expenses.
  • Opportunity to collaborate with a team working at the forefront of AI research.

Hiring process

  • Compensation and leveling are determined through multiple factors assessed during the interview process.
  • AI-powered tools may support scheduling, note-taking, transcription, or interview summarization; candidates may opt out where reasonably practicable.
  • Employment authorization is verified through E-Verify.

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