Software Engineer, AI Capture

Role responsibilities

Develop advanced AI data capture and meeting notes features to turn conversations into durable knowledge and tasks. Own the end-to-end product experience from transcription and summary to enterprise-ready scalability and reliability.

Requirements

Requires over 10 years of experience shipping production software with strong full-stack engineering skills and a product-minded approach. Candidates should be comfortable with ambiguity and operating production systems, with a preference for experience in LLMs or realtime media pipelines.

Key skills

Full-stack Engineering, Frontend Development, Backend Development, Production Software Shipping, System Reliability, Observability, Incident Response, Product Craftsmanship, LLM Integration, Applied AI, Realtime Pipelines, Audio Processing, Transcription, Diarization, Enterprise Scalability, Permissions Models

Keywords

AI, LLM, Full-stack, Realtime Pipelines, Audio Waveforms, Transcription, Diarization, SLOs, Observability, Enterprise Software, Compliance, Scalability, Prompting, Evals, Model Integrations, Software Engineering, Product Development, Agentic Workflows