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5 дней назад

Senior Backend Engineer, AI Platform

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

Текст:
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TL;DR
Senior Backend Engineer, AI Platform (Go/LLM): Building greenfield AI infrastructure and LLM-backed features for a social media platform serving millions of users with an accent on retrieval systems, model-provider routing, streaming, and production reliability. Focus on designing backend services, evaluating answer quality and safety, and handling hallucinations, retrieval failures, provider outages, and cost control.

Location: Remote within the United States; Sarasota, Florida, US. US-based candidates authorized to work in the United States are required.

Company

hirify.global operates a social media platform focused on engaging, accessible, and censorship-free user experiences.

What you will do

  • Build greenfield core AI infrastructure for a platform serving millions of active users.
  • Develop and operate production LLM-backed features, including retrieval-augmented generation, streaming responses, and tool use.
  • Design LLM serving infrastructure with multi-provider routing, failover, token streaming, and cost and usage metering.
  • Build retrieval systems with vector search, embedding pipelines, context assembly, and citation-backed answers.
  • Own backend services end to end, from API schema and deployment through on-call support.
  • Work with the platform architect and other developers to establish engineering practices for the growing AI team.

Requirements

  • 5+ years of backend engineering experience in a statically typed language such as Go, Java, Kotlin, or C#.
  • Production experience shipping and operating LLM-backed features.
  • Hands-on experience with LLM serving, retrieval systems, vector search, embedding pipelines, and context assembly.
  • Strong API design skills and experience owning services through deployment and on-call operations.
  • Ability to evaluate AI answer relevance, safety, and source quality using repeatable tests.
  • US-based and authorized to work in the United States.

Nice to have

  • Strong Go experience and Python experience.
  • Experience with LLM gateways or serving infrastructure such as LiteLLM, vLLM, or TGI.
  • Experience with Qdrant, pgvector, fine-tuning open-weight models, content moderation, or safety tooling.
  • Familiarity with Ruby on Rails or React/TypeScript.

Culture & Benefits

  • Full-time remote work within the United States.
  • Greenfield engineering work with the opportunity to shape AI engineering practices.
  • Services are deployed across multiple data centers.
  • Work on a rapidly growing social media platform committed to free expression.

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