54 минуты назад
VP – Distinguished Engineer of Generative AI Engineering (AI)
222 431 - 370 719$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
VP – Distinguished Engineer of Generative AI Engineering (AI): Building Slate's enterprise-scale GenAI platform, agentic systems, proprietary data layer, and physical AI applications across vehicle engineering and manufacturing with an accent on LLMs, robotics, computer vision, and real-time model deployment. Focus on designing reliable multi-agent systems, robot-to-model feedback loops, evaluation and observability frameworks, and AI infrastructure that operates under physical latency and safety constraints.
Location: Remote
Base salary: $222,431–$370,719 per year
Company
is building affordable, customizable vehicles in the USA, with a focus on reindustrialization, manufacturing, and physical vehicle innovation.
What you will do
- Design and own the enterprise-scale GenAI platform, including context and data layers, model serving, agent frameworks, and evaluation pipelines.
- Build production-grade agentic systems for vehicle engineering, manufacturing, supply chain, software development, and go-to-market workflows.
- Deploy physical AI across manufacturing, including robotic process control, computer vision for quality assurance, predictive maintenance, and robot-to-model feedback loops.
- Develop proprietary knowledge, context, and data architectures based on human, robotic, enterprise, and manufacturing decisions.
- Establish guardrails, evaluation standards, observability practices, security controls, and reliable platform engineering practices.
- Recruit and develop a lean team while remaining hands-on with coding, architecture, code reviews, and stakeholder requirements.
Requirements
- 15+ years of engineering experience, including 5+ years shipping production GenAI systems and 7+ years in senior technical leadership.
- Bachelor’s degree in computer science, machine learning, robotics, electrical engineering, mechanical engineering, or a related field.
- Hands-on experience with LLM APIs, open-source model deployment, vector databases, agent orchestration, RAG, fine-tuning, and production prompt engineering.
- Experience designing multi-agent systems, evaluation frameworks, guardrails, observability pipelines, and enterprise AI platforms serving thousands of users.
- Experience applying AI to physical systems such as robotics, manufacturing, industrial sensors, autonomous vehicles, or factory equipment.
- Expertise in real-time inference, edge deployment, sensor fusion, computer vision, cloud architecture, streaming data, security, compliance, and cost modeling.
Nice to have
- Experience with physical simulation environments such as Isaac Sim or MuJoCo.
- Published research, widely adopted systems, open-source contributions, or conference presentations.
Culture & Benefits
- Startup environment focused on ingenuity, resourcefulness, fast execution, and continuous improvement.
- Values include safety, customer focus, collaboration, technical excellence, and respect.
- Medical, dental, vision, life, and disability insurance.
- Vacation, 401(k), potential equity participation, and a discretionary annual incentive program.
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