Software Engineer, Backend (Product) (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Software Engineer, Backend (Product) (AI): Building and optimizing AI-native product experiences and backend services using Python and Django with an accent on transforming LLM outputs into actionable user value. Focus on orchestrating LLMs, optimizing for latency and reliability, and developing scalable backend systems to power intelligent workflows.
Location: Hybrid in Mountain View, CA
Salary: $136,000–$185,000 USD per year
Company
is the world’s leading tool for meeting transcription, summarization, and collaboration powered by artificial intelligence.
What you will do
- Build end-to-end AI-native product experiences, transforming model output into structured user value like summaries and action items.
- Iterate on prompts, data flows, and backend logic to improve output quality based on user feedback and evaluations.
- Orchestrate LLMs, retrieval systems, and structured data to translate product requirements into production systems.
- Optimize system tradeoffs across latency, cost, reliability, and output quality for scalable experiences.
- Develop scalable backend services using Python and Django to support evolving AI-driven requirements.
- Leverage AI-assisted development tools to rapidly prototype and ship features from idea to production.
Requirements
- 2+ years of experience building product-facing systems.
- Proficiency in writing clean, maintainable code, specifically in Python.
- Experience with modern web stacks, including APIs, data systems, and async workflows.
- Ability to think in terms of product outcomes and user utility rather than just technical implementation.
- Comfort operating in ambiguous, fast-moving environments and iterating quickly.
- Must be based in or able to work in Mountain View, CA.
Nice to have
- Experience building or experimenting with LLM-powered features, including prompting, evaluation, and RAG.
- Experience designing systems that balance latency, cost, and quality.
- Exposure to user feedback loops, experimentation, or evaluation frameworks.
Culture & Benefits
- Work at the intersection of product, AI, and systems to shape the future of work.
- High-velocity engineering culture utilizing state-of-the-art AI-assisted development tools.
- Inclusive and accessible workplace committed to diversity.
- Comprehensive total rewards package beyond base salary.
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