6 часов назад
Staff Software Engineer (AI)
240 000 - 280 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer (AI): Building production AI-powered requirements features and agentic workflows for hardware engineering teams with an accent on LLM integration, retrieval-augmented systems, and full-stack delivery. Focus on designing reliable model-driven capabilities, evaluation and observability infrastructure, and scalable cloud services from prototype to production.
Location: San Francisco, United States; on-site
Salary: $240,000–$280,000 per year plus equity
Company
develops an AI-native requirements platform for engineering organizations and hardware teams.
What you will do
- Design and ship AI-powered features for requirement drafting, consistency checks, impact analysis, and intelligent suggestions.
- Build agentic workflows that help systems and domain engineers explore designs, simulate changes, and validate requirements.
- Evaluate and integrate language models while optimizing reliability, latency, cost, and debuggability in production.
- Build data pipelines, evaluation harnesses, prompt and model management, observability, and safety guardrails.
- Develop complete AI features across backend integrations, APIs, and simple UI hooks.
- Partner with product and customers to identify high-value workflows, run experiments, and iterate based on usage.
Requirements
- 8+ years of experience developing, designing, testing, and operating production software at scale in a cloud environment.
- Hands-on experience with modern LLM providers and tooling, including OpenAI, Anthropic, Hugging Face, vector stores, and RAG patterns.
- Experience with prompt design, retrieval-augmented systems, evaluation methods, and safety or guardrail approaches.
- Ability to evaluate tradeoffs between models, architectures, and deployment patterns and make pragmatic technical decisions.
- Experience with TypeScript, Node, Python, modern LLM APIs, orchestration libraries, Postgres, and managed cloud services.
- Comfort working in a high-ownership, fast-paced environment focused on experimentation and iteration.
Culture & Benefits
- Competitive salary and meaningful equity.
- Health, dental, and vision coverage.
- Flexible time off.
- Support for experimentation, learning, and staying current with the AI ecosystem.
- Emphasis on rapid prototyping, clear ownership, evaluation, observability, and safety from the first version.
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