Pocket

Founding AI Engineer

Pocket Remote, US
Full-time $150k Posted 6 months ago

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

  • check_circle Build speech training & evaluation frameworks using prompt management, fine-tuning, and retrieval-based techniques
  • check_circle Implement document generation training & evaluation frameworks for clinical workflows
  • check_circle Develop test harnesses and monitoring systems for critical AI workflows
  • check_circle Continuously refine datasets and evaluation methodologies to improve model performance and real-world alignment
  • check_circle Build automated pipelines for training, deployment, and monitoring of AI systems
  • check_circle 5+ years of professional experience in applied ML, data science, or software engineering with at least 2 years in a startup environment
  • check_circle Experience developing training & evaluation frameworks for LLM-based speech processing, including ASR, diarization, TTS, and speech-to-speech systems
  • check_circle Experience deploying AI speech solutions in production settings using REST API’s, containerization and CI/CD pipelines
  • check_circle Strong Python expertise

Benefits

  • check_circle Initial Screen (30 minutes)
  • check_circle Technical Interview (1 hour)
  • check_circle Systems Design & Behavioral Interview (1 hour)
  • check_circle Meet with CEO (30 minutes)
  • check_circle Meet with both co-founders (30 minutes)
  • check_circle Deliver monitoring systems and evaluation harnesses for insurance voice and clinical documentation generation workflows
  • check_circle Drive a measurable improvement in the AI voice systems through targeted error analysis, data iteration, and model optimization
  • check_circle Ship 1-2 production voice agents for real-time insurance payer interaction
  • check_circle Improve the documentation generation system through prompt and fine-tuning based techniques
  • check_circle Collaborate with the CTO to deliver additional integrations and enhancements to the platform

Tags & Focus Areas

Fulltime Remote Ai Ai Engineer Generative Ai