Member of Technical Staff, Software Engineering
New
C
Cognita ImagingHealthcare AI
San Francisco Bay Area (in-person), Remote or HybridFull-TimeSenior
Salary$190,000–$210,000 base, plus competitive equity
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Job Details
- Required Skills
- AWSPostgreSQLPythonCloud ComputingFlaskFull Stack DevelopmentFastAPIDistributed Systems
Requirements
- Strong experience building full-stack systems in production.
- Experience designing and operating cloud-based services, ideally on AWS.
- Comfort building and owning API-driven, data-intensive systems.
- Experience working with distributed systems and production reliability concerns.
- Attention to detail and an eye for product design.
- Strong ownership mindset and systems judgment.
- Familiarity with modern backend stacks (Python, FastAPI/Flask, PostgreSQL).
- Plus: Experience with real-time/low-latency systems (streaming, WebSocket, WebRTC, SSE).
- Plus: Experience with report generation, structured text, or document workflows.
- Plus: Familiarity with LLM inference pipelines or AI-powered products.
- Plus: Experience working in healthcare, regulated environments, or HIPAA requirements.
- Plus: Hands-on experience with speech-to-text or audio streaming pipelines.
- Plus: Experience with React/Next.js performance and state architecture.
Responsibilities
- Iterate on the frontend and backend services that power Mosaic Reporting.
- Improve the reporting system that transforms model outputs and radiologist voice dictation into accurate, structured radiology reports in real time.
- Develop workflows for VLM-based pixel-to-text report drafting, editing, resident workflows and clinician sign-off.
- Scale and harden the real-time streaming dictation pipeline to ensure efficiency and reliability.
- Manage large volumes of structured and unstructured data, including imaging metadata and model outputs.
- Ensure platform services are reliable, secure, low-latency, and scalable for broader customer expansion.
- Collaborate with clinical AI, ML training, evaluation, and infrastructure teams to integrate inference into production reporting workflows.
- Own services end-to-end, from design and implementation through deployment and operation.
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