Staff Software Engineer, Speech

Rad AI is hiring a Staff Software Engineer to serve as technical lead for its Speech function and build a responsive, high-performance speech platform for radiologists. The role sets technical direction, brings speech models into production, develops real-time audio and distributed backend systems, and improves reliability in a healthcare environment.

Responsibilities:

• Act as technical lead for the Speech function: set direction, drive architecture decisions, and mentor engineers
• Partner with Research Scientists to take speech models from evaluation to production
• Build and evolve real-time audio capture and streaming in our React/TypeScript web application
• Design and operate the distributed Python backend services that power our speech platform
• Contribute to the infrastructure behind our speech systems
• Debug and improve production reliability and performance using modern observability tools
• Work with Product, UX, and Customer Success to ship features in a high-scale, HIPAA-compliant environment

Requirements:

• 7+ years of industry experience developing audio or multimedia software
• Strong full-stack skills: in-depth TypeScript/React and Python
• Experience with browser audio APIs (Web Audio, AudioWorklet) and real-time audio streaming
• Strong experience with WebSockets and real-time client–server communication
• Experience building and operating distributed systems
• Comfortable debugging production issues with observability tools (e.g. Sentry, Grafana)
• Proven technical leadership: mentoring engineers and driving technical direction across a team
• Strong testing practices (unit and integration) and experience on distributed teams
• Experience with FastAPI, SQLAlchemy, and PostgreSQL
• Experience with Infrastructure as code, particularly Terraform
• Experience with ASR/STT, or ML-driven products such as speech recognition or NLP, from model evaluation (e.g. word error rate) through rollout and production monitoring
• Experience with spec-driven development and AI-assisted engineering tools (e.g. Claude Code)
• Experience in HIPAA-compliant environments, especially FHIR and HL7
• Experience working at startups
• Experience with 3rd-party integrations such as Auth0
• Experience with relational and document based databases, as well as other large scale data storage paradigms