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3 дня назад

Fullstack Engineer (AI)

209 700 - 311 400$
Формат работы
hybrid
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
Fullstack Engineer (AI): Building search, scenario-mining, and agentic evaluation tools for autonomous-driving AI, with an accent on scalable fullstack systems, high-performance APIs, and large-scale data processing. Focus on taking scenario-mining frameworks from prototype to production, enabling end-to-end evaluation workflows, and maintaining reliable software used across the AI Driver development loop.

Location: Sunnyvale, California, USA; hybrid working model with in-person office collaboration

Salary: $209,700–$311,400 base salary, plus $330,459–$519,534 equity

Company

hirify.global develops an AI platform for autonomous driving that learns from real-world experience and supports scalable vehicle automation.

What you will do

  • Build fullstack features for search, scenario mining, agentic tooling, and web applications used to curate scenarios and create test suites.
  • Work with model developers and researchers to identify pain points and define measurable success criteria.
  • Take scenario-mining capabilities from prototype to production scale.
  • Extend agent tooling to run evaluation workflows end to end.
  • Work with Databricks, Spark, and large-scale data systems.
  • Own the reliability, performance, maintainability, and architecture of shipped software.

Requirements

  • Strong development skills in Python, TypeScript, JavaScript, and React or similar frontend frameworks.
  • Strong SQL skills, including database design and optimization.
  • Experience building production-level fullstack systems and reliable, high-performance APIs.
  • Experience creating robust, maintainable systems using engineering best practices.
  • Strong communication and collaboration skills, including effective work across time zones.
  • Ability to work independently in a fast-paced, ambiguous environment and use AI development tools to build AI-augmented workflows.

Nice to have

  • Experience with search, embeddings, or retrieval systems.
  • Experience with Databricks, Spark, or similar large-scale data-processing platforms.
  • Experience with Flyte or other job-orchestration frameworks.
  • Experience building agentic or LLM-powered developer tools, including MCP servers.
  • Experience building tools for ML, robotics, infrastructure, scientific visualization, or complex data interfaces.

Culture & Benefits

  • Hybrid work with core hours and opportunities to work in vehicle workshops and labs.
  • Learning and development budgets for training, conferences, and professional growth.
  • Meaningful equity participation.
  • Health and dental insurance, enhanced parental leave, retirement or pension benefits where applicable, therapy access, wellbeing partnerships, and team socials.
  • Relocation support and visa sponsorship where applicable.

Hiring process

  • 30-minute recruiter screen.
  • Programming and hiring-manager interviews lasting approximately two hours total.
  • Systems and domain-specific technical interviews lasting approximately two hours total, followed by a 45-minute mission and values interview.

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