Freed

About the Company

Meet Freed: The AI assistant loved by 17,000+ happy clinicians. Freed listens, transcribes, and creates comprehensive SOAP notes faster than you can say "documentation backlog." The reviews are in: "The best thing to happen to clinicians!" -Dr. Sanjay Bharti "I finally have control of my charts!" -Dr. Maryam Zarei "It's not just a time-saver, it's a life-saver." -Dr. Bryan Walker

Listed Jobs

Company Name

Freed

Job Title

Software Engineer

Job Description

**Job Title:** Software Engineer **Role Summary:** Develop and own end‑to‑end product features for an AI‑driven medical documentation platform. Work across backend (Node.js/TypeScript) and frontend (React/TypeScript) while integrating and optimizing large language and speech models. Collaborate in autonomous, cross‑functional teams to deliver high‑quality, data‑driven solutions that improve clinician workflows. **Expectations:** - Consistently deliver high‑impact code with speed and ownership. - Embrace a mission‑focused mindset to enhance healthcare outcomes. - Operate effectively in a flexible, primarily West‑Coast‑aligned remote environment. - Demonstrate curiosity and self‑learning in AI/LLM technologies. **Key Responsibilities:** - Design, implement, and maintain full‑stack features (React, TypeScript, Node.js, Azure, SQL). - Integrate, fine‑tune, and optimize AI models for language and speech use cases. - Conduct experiments and A/B tests to validate product changes and ensure software quality. - Partner with Product Management, UX Design, and other engineers in autonomous squads. - Participate in code reviews, architecture discussions, and technical planning. **Required Skills:** - 5+ years of full‑stack software engineering experience. - Proficiency with React, TypeScript, Node.js, and relational databases (SQL). - Experience with cloud platforms, preferably Azure. - Strong problem‑solving ability and data‑driven decision making. - Familiarity with AI development tools (e.g., GitHub Copilot, ChatGPT, Cursor) and interest in LLM applications. - Excellent communication and teamwork skills in a distributed setting. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent professional experience). - No specific certifications required; relevant AI/ML coursework or certifications are a plus.

San francisco, United states

Hybrid

Mid level

04-10-2025