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3 дня назад

Software Engineer I (AI Analytics)

138 000 - 207 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
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
Software Engineer I (AI Analytics): Building backend services, APIs, and data pipelines for an AI analytics product that processes agent traces, conversations, and evaluation results with an accent on data reliability, query performance, and scalable analytics infrastructure. Focus on improving pipeline throughput and data freshness, debugging asynchronous services, and developing reliable customer-facing features with TypeScript, Python, PostgreSQL, and ClickHouse.

Location: San Francisco, United States; hybrid

Salary: $138,000–$207,000 total target cash annually for work in the San Francisco Bay Area of California, inclusive of bonus or commission.

Company

hirify.global provides an AI analytics platform that helps product, data, and marketing teams analyze, test, and optimize digital experiences.

What you will do

  • Build backend features and APIs for exploring AI agent sessions, traces, and evaluation results.
  • Contribute to data pipelines that ingest, enrich, synchronize, and export agent data.
  • Investigate slow queries and pipeline issues to improve data freshness, throughput, and product responsiveness.
  • Write maintainable code and automated tests, participate in code reviews, and use logs and metrics to debug services.
  • Collaborate with Engineering, Product, and Design to deliver improvements from implementation through rollout.

Requirements

  • B.S., M.S., or Ph.D. in Computer Science or a related technical field, or equivalent practical experience.
  • 0–2 years of professional software engineering experience, including internships.
  • Programming experience with TypeScript, Python, Java, or a similar language.
  • Solid foundation in programming fundamentals, data structures, and algorithms.
  • Curiosity about AI agents and willingness to learn backend systems, data pipelines, and analytical databases.

Nice to have

  • Exposure to SQL, backend APIs, cloud infrastructure, or data pipelines.
  • Projects involving AI agents, LLM applications, tracing, or evaluations.

Culture & Benefits

  • Mentorship, management training, and learning and development support.
  • Medical, dental, and vision insurance, with employer-paid premiums on select plans.
  • 401(k) retirement plan with employer matching.
  • Flexible time off, paid holidays, parental leave, fertility, adoption, surrogacy, and backup childcare support.
  • Wellness, commuter, learning, and home-office equipment stipends, plus mental health support and an employee stock purchase program.

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