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full-stack llm real-time transcriptionπ Description
- Ship end-to-end capture features: capture, transcript, summary, follow-ups.
- Make meeting and data capture effortless with speaker IDs and richer UX.
- Improve summary quality with structure, accuracy, and citations for agents.
- Improve reliability and observability across the pipeline with SLOs and incident response.
- Build agentic meeting workflows turning discussions into tasks and follow-ups.
- Deliver enterprise readiness: sharing, permissions and scalability.
π― Requirements
- Strong full-stack engineering (frontend + backend) ownership.
- Product minded, detail oriented, data driven decisions.
- Experience building and operating production systems (debugging, on-call, performance).
- Able to navigate ambiguous problems and align stakeholders.
- Curious about AI tools to work smarter and deliver results.
π Benefits
- Competitive cash compensation and equity.
- In-office Anchor Days: Mon Tue Thu.
- Global, diverse team and inclusive culture.
- Comprehensive benefits package.
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