Назад
2 дня назад

Senior Software Engineer, Backend (AI Platform)

173 000 - 255 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Senior Software Engineer, Backend (AI Platform) (AI Platform/LLMs): Building governed gateway, runtime, and evaluation services that move AI workloads from pilots to production with an accent on reliability, security, identity, cost attribution, and scalable distributed systems. Focus on designing agentic infrastructure, implementing routing and failover controls, and operating highly available services across millions of users and transactions.

Location: Remote US; most roles can be performed almost anywhere within the country of employment. Occasional in-person work at an Affirm office may be required, and all new hires attend in-person onboarding.

Base pay: $195,000–$255,000 per year in CA, WA, NY, NJ, and CT; $173,000–$233,000 per year in other U.S. states.

Company

Affirm provides transparent, predictable payment products and builds large-scale infrastructure for financial products, merchants, and vendors.

What you will do

  • Own technical decisions and projects across design, launch, operations, and on-call support.
  • Design and build AI gateways, agent runtimes, and evaluation services that scale AI workloads to production.
  • Implement identity, quota, routing, caching, failover, cost attribution, and governance controls for models and tools.
  • Partner with security, infrastructure, and product engineering teams on agentic-workload guardrails and on-behalf-of identity for tool access.
  • Own operational health through metrics, monitoring, alerting, runbooks, and on-call practices.
  • Improve code review and design standards, use AI-native workflows, mentor engineers, and promote engineering best practices.

Requirements

  • 4+ years of experience designing, developing, and launching backend systems at scale using Python or Kotlin.
  • Experience developing highly available distributed systems with technologies such as AWS, MySQL, and Kubernetes.
  • Production experience building with LLMs, agents, or AI frameworks, including inference APIs, LLM gateways such as LiteLLM, MCP, tool calling, evals, or agent runtimes.
  • Understanding of AI usage and the infrastructure required to support and leverage AI workloads across disciplines.
  • Experience defining technical plans for significant features or system components using elegant, simple, and extensible designs.
  • Ability to write high-quality, understandable code and safely make significant changes in a large codebase.
  • Ownership of professional growth and proactive feedback-seeking from teams, managers, and stakeholders.
  • Strong verbal and written communication skills for collaboration with a global engineering team.
  • Equivalent practical experience or a Bachelor’s degree in a related field.

Culture & Benefits

  • Remote-first work with flexibility within the country of employment.
  • Blameless postmortems, detailed technical specifications, and feedback-driven engineering practices.
  • 100% subsidized medical coverage, dental and vision coverage for employees and dependents.
  • Monthly technology, health, and wellness spending stipends.
  • Flexible time off, generous holiday calendars, and an employee stock purchase plan.
  • Inclusive interview process with accommodations available for candidates with disabilities.

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