Role overview
You will report to and work closely with the , who has 8 years of experience developing text and voice AI products for both enterprise and early-stage startups.
We are looking for senior candidates who have operated in fast-paced, early-stage startup environments and exhibit strong engineering judgment around speed, reliability, and complexity trade-offs.
In this role, you’ll own the end-to-end development lifecycle, including data, evaluation, deployment, and reliability. We’re looking for candidates who thrive in high-trust, high-ownership environments.
Responsibilities
- Build speech training & evaluation frameworks using prompt management, fine-tuning, and retrieval-based techniques
- Implement document generation training & evaluation frameworks for clinical workflows
- Develop test harnesses and monitoring systems for critical AI workflows
- Continuously refine datasets and evaluation methodologies to improve model performance and real-world alignment
- Build automated pipelines for training, deployment, and monitoring of AI systems
- 5+ years of professional experience in applied ML, data science, or software engineering with at least 2 years in a startup environment
- Experience developing training & evaluation frameworks for LLM-based speech processing, including ASR, diarization, TTS, and speech-to-speech systems
- Experience deploying AI speech solutions in production settings using REST API’s, containerization and CI/CD pipelines
- Strong Python expertise
Benefits
- Initial Screen (30 minutes)
- Technical Interview (1 hour)
- Systems Design & Behavioral Interview (1 hour)
- Meet with CEO (30 minutes)
- Meet with both co-founders (30 minutes)
- Deliver monitoring systems and evaluation harnesses for insurance voice and clinical documentation generation workflows
- Drive a measurable improvement in the AI voice systems through targeted error analysis, data iteration, and model optimization
- Ship 1-2 production voice agents for real-time insurance payer interaction
- Improve the documentation generation system through prompt and fine-tuning based techniques
- Collaborate with the CTO to deliver additional integrations and enhancements to the platform
Tags & focus areas
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