Назад
4 дня назад

Head of Engineering (AI)

200 000 - 300 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
head
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
Head of Engineering (AI): Leading engineering execution and developing software that makes enterprise data useful for AI applications with an accent on backend systems, APIs, model serving, and model training. Focus on setting technical direction, scaling engineering teams, optimizing inference across latency and GPU cost, and ensuring reliable production operations.

Location: San Francisco, hybrid

Salary: $200,000–$300,000 per year plus equity

Company

LlamaIndex builds software that makes enterprise data useful for AI applications, with a focus on document understanding.

What you will do

  • Lead and develop the engineering team, setting priorities, ownership, accountability, and technical direction.
  • Partner with leadership and product teams to translate customer needs into a focused roadmap and predictable delivery.
  • Stay hands-on with architecture, code reviews, production debugging, and implementation of critical changes.
  • Guide application services, APIs, data pipelines, and ML infrastructure while balancing customer needs and long-term maintainability.
  • Work with ML engineers and researchers on model training, fine-tuning, evaluation, deployment, and production operations.
  • Improve testing, observability, security, incident response, releases, hiring, and technical leadership development.

Requirements

  • Experience leading engineering teams in B2B SaaS and operating customer-facing products.
  • Experience leading multiple engineering teams or technical domains comparable in complexity to a 20–30-person organization.
  • Strong current hands-on engineering skills, including production coding, architecture reviews, and complex debugging.
  • Practical familiarity with model serving and model training, including fine-tuning, evaluation, deployment, and production operations.
  • Strong background in backend systems, APIs, distributed systems, and cloud infrastructure.
  • Track record of hiring and developing engineers, setting expectations, communicating clearly, and applying sound product judgment.

Nice to have

  • Experience scaling engineering at a Series A–C startup.
  • Experience with document processing, OCR, extraction, retrieval, indexing, enterprise data, LLMs, or multimodal models.
  • Experience with GPU infrastructure, distributed training, inference optimization, or model serving frameworks.
  • Experience building developer tools or API-first products and handling multi-tenancy, access controls, auditability, and security reviews.
  • Experience developing engineering managers while remaining closely involved in technical execution.

Culture & Benefits

  • Hybrid work arrangement in San Francisco.
  • Direct communication, customer focus, and responsibility for results.
  • Equity included in the compensation package.

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