8 часов назад
Senior Fullstack Software Engineer (AI)
190 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Fullstack Software Engineer (AI): Building AI-powered requirements features and agentic workflows for engineering teams with an accent on LLM integration, full-stack delivery, and production reliability. Focus on designing evaluation, observability, and safety infrastructure, optimizing model tradeoffs, and shipping stable AI capabilities from prototype to production.
Location: San Francisco, United States; on-site
Salary: $190,000–$250,000 per year, plus equity
Company
provides an AI-native requirements platform that helps hardware teams design, validate, and evolve complex systems.
What you will do
- Design and ship AI-powered features for requirements drafting, consistency checks, impact analysis, and intelligent suggestions.
- Build agentic workflows that support design exploration, change simulation, and requirements validation.
- Evaluate and integrate language models, optimizing reliability, latency, cost, and debuggability.
- Build data pipelines, evaluation harnesses, prompt and model management, observability, and safety guardrails.
- Deliver complete AI features across backend integrations, APIs, and UI hooks.
- Partner with product and customers to identify workflows, run experiments, and iterate based on usage.
Requirements
- 5+ years of experience developing, testing, and operating production software at scale in cloud environments.
- 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 trade-offs across models, architectures, and deployment patterns.
- TypeScript/Node.js and Python experience for AI and backend services.
- Experience with Postgres and managed cloud services.
Culture & Benefits
- Fast prototyping followed by production hardening and iteration.
- End-to-end ownership of features from prototype to production.
- Evaluation, observability, and safety are built into the first version.
- Competitive salary and meaningful equity.
- Health, dental, and vision coverage.
- Flexible time off and support for experimentation, learning, and staying current with the AI ecosystem.
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