Software Engineer, AI Capture

Role responsibilities

Develop and scale AI-driven data capture features, specifically focusing on transforming meeting conversations into durable context and tasks. The role involves full-stack ownership of the pipeline from audio capture and transcription to summary generation and agentic workflows.

Requirements

Requires over 10 years of experience shipping production software with strong full-stack engineering skills and a product-minded approach. Candidates should have experience operating production systems and a curiosity for adopting AI tools, with a preference for those experienced in LLMs or real-time media pipelines.

Key skills

Full-stack Engineering, Production Software Shipping, Product Craftsmanship, System Reliability, Observability, Incident Response, LLM Integration, Applied AI, Audio Processing, Transcription, Diarization, Enterprise Software Development, Real-time Pipelines, Prompting, Model Evaluation, Scalability

Keywords

AI, Full-stack, LLM, Audio Waveforms, Transcription, Diarization, Real-time Systems, SLOs, Enterprise Readiness, Compliance, Scalability, Agentic Workflows, Prompting, Evals, Low-latency Processing, Software Engineering, Product Development, Observability, Debugging, Incident Response