2 часа назад
AI Solutions Engineer (Robotics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Solutions Engineer (Robotics) (Python/LLM): Building and shipping production AI features and end-to-end solutions for real robots, sensors, and field deployments with an accent on agentic systems, workflow orchestration, and customer-driven product development. Focus on operating production LLM applications, translating customer workflows into reusable capabilities, and improving reliability through real-world deployments.
Location: Irvine, California, United States; on-site. Travel to customer sites is expected at approximately 10%.
Company
builds risk-aware, reliable, field-ready embodied AI systems for real robots, sensors, and customer deployments.
What you will do
- Build and ship production AI features that deliver measurable customer value.
- Work with customer teams to understand workflows, pain points, and success criteria.
- Design and implement end-to-end solutions using Python and production LLM systems.
- Translate customer requirements into reusable product capabilities rather than one-off custom work.
- Partner with Product, Research, and Engineering to prioritize and deliver high-impact features.
- Identify repeatable implementation patterns and codify them into internal playbooks.
Requirements
- Bachelor's degree or equivalent practical experience in software engineering, applied AI, or a related technical field.
- Strong Python skills and experience shipping production-grade software.
- Experience with agentic systems, tool use, workflow orchestration, and production LLM applications.
- Experience conducting customer discovery and translating business requirements into technical solutions.
- Strong problem-solving and communication skills with technical and non-technical audiences.
- Ability to travel to customer sites and execute in ambiguous, cross-functional environments.
Nice to have
- Experience with model evaluation, quality measurement, and reliability practices.
- Background in forward-deployed engineering, solutions engineering, or professional services.
- Side projects or products that solve real-world workflow problems.
Culture & Benefits
- Work directly with real robots, sensors, and field deployments.
- Build systems that are tested on hardware and improved through real-world use.
- Collaborate across Product, Research, Engineering, and customer teams.
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