2 дня назад
Software Engineer (AI Productivity)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (AI Productivity) (AI tooling/LLM integrations): Building internal AI tools, backend services, interfaces, agent infrastructure, and workflows that improve engineering, research, operations, and recruiting productivity with an accent on reliable integrations, ergonomic agent experiences, and secure data access. Focus on driving adoption, evaluating build-versus-buy decisions, measuring productivity impact, and enabling teams to use AI effectively.
Location: San Francisco, United States; on-site
Company
develops general-purpose AI, foundation models, and learning algorithms for robots and physically actuated devices.
What you will do
- Identify opportunities to improve company-wide productivity with AI, build or integrate solutions, and drive adoption.
- Develop backend services, scripts, workflows, user interfaces, LLM integrations, and agent infrastructure.
- Make cloud agents and internal automation easy to use, monitor, and trust.
- Build tools that help engineering, research, operations, and recruiting teams work more effectively.
- Create playbooks, onboarding materials, demos, office hours, and shared workflows for AI enablement.
- Partner on security, permissions, data access, build-versus-buy decisions, and impact measurement.
Requirements
- Strong software engineering fundamentals and the ability to ship quickly.
- Hands-on fluency with AI coding workflows and modern LLM-based tools.
- Ability to build backend services, internal tools, integrations, automation, and user interfaces.
- Strong product judgment, developer experience awareness, and the ability to work across technical domains.
- Good judgment around security, permissions, data access, and safe tool rollout.
- Clear communication, documentation, teaching ability, and comfort driving adoption.
Nice to have
- Experience building developer tools, agents, or automation platforms.
- Experience building internal tools for research, robotics, or operationally intensive problems.
- Experience with React, TypeScript, Python, Postgres, ClickHouse, GCP, and Kubernetes.
Culture & Benefits
- Collaborate with engineering, research, operations, recruiting, and other cross-functional teams.
- Work alongside engineers focused on build systems, infrastructure, and developer productivity.
- Operate in a research- and engineering-driven environment focused on physical AI and robotics.
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