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15 часов назад

Senior Staff AI Engineer (Automotive)

227 500 - 300 000$
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
Senior Staff AI Engineer (Agentic AI/Automotive): Designing and implementing a production-grade agentic operating layer for software-defined vehicles with an accent on AI architecture, orchestration, privacy, and safety. Focus on building multi-agent systems, versioned prompt routing, PII redaction, hallucination verification, and scalable model deployment across high-velocity vehicle telemetry.

Location: Sunnyvale, California, United States; hybrid office work arrangement

Salary: $227,500–$300,000 USD base salary per year

Company

hirify.global develops software for AI-enabled, software-defined vehicles, with its technology deployed across more than 8 million vehicles.

What you will do

  • Lead the architecture and design of an extensible AI platform and drive consensus on AI-core decisions across teams.
  • Design and implement agentic orchestration components that decompose complex goals into actionable subtasks.
  • Build a versioned prompt registry supporting model-agnostic routing and A/B testing of system prompts.
  • Engineer privacy and safety capabilities, including PII redaction and hallucination verification before AI-generated actions are executed.
  • Lead the full data and algorithm lifecycle, including modeling, training, tuning, validation, deployment, and service maintenance.
  • Document technical designs, communicate best practices, analyze data, and lead projects through completion.

Requirements

  • 10+ years of software engineering experience, including 4+ years shipping production-scale AI or agentic systems.
  • Strong programming skills in Python, Java, or C++, with experience in TensorFlow, PyTorch, or scikit-learn.
  • Expertise with stateful orchestration frameworks such as LangGraph or AutoGen, including state management across multi-step AI missions.
  • Experience with structured and unstructured big data, traditional databases, streaming analytics, and vector databases.
  • Experience building multi-agent systems, adaptive orchestration, jailbreak detection, PII masking, data preprocessing, feature engineering, and model evaluation.
  • Bachelor’s degree in a relevant field required; a master’s degree or PhD is preferred.

Nice to have

  • Experience with AWS, Azure, Google Cloud, Docker, or Kubernetes.
  • Automotive industry experience.
  • Experience building multi-tenant Platform-as-a-Service models.

Culture & Benefits

  • Competitive compensation and equity program.
  • Medical, dental, and vision coverage, life insurance, and a 401(k) retirement plan.
  • Flexible and dependent care expense programs.
  • Unlimited paid time off and 15 paid holidays per year.
  • Hybrid work flexibility, with lunches and wellness allowances available during on-site work.
  • Internet reimbursement, computer accessory allowance, team-building activities, and employee referral program.

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