
51 - 200 employees
🤖 Artificial Intelligence
☁️ SaaS
🤝 B2B
💰 $2.9M Seed on 2024-02
Artificial Intelligence • SaaS • B2B
Soulside AI is an AI-driven SaaS platform built specifically for behavioral health providers that automates clinical documentation, compliance, revenue cycle management, and attendance for individual and group sessions. The system uses patent-pending speaker recognition and advanced audio processing to create accurate, per-participant notes, integrates with any EHR for one-click note transfer, and provides real-time clinical and operational analytics while maintaining HIPAA-compliant, zero-audio-storage security. Designed for B2B deployment in treatment facilities (mood disorders, substance use, eating disorders and similar programs), Soulside AI emphasizes rapid implementation, measurable time savings, and hands-on support for adoption and compliance.
🔥 0 minutes ago
AWS
Cloud
Distributed Systems
EC2
Grafana
Java
JavaScript
Kafka
Prometheus
React
Spring
Spring Boot
SpringBoot
TypeScript
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51 - 200 employees
🤖 Artificial Intelligence
☁️ SaaS
🤝 B2B
💰 $2.9M Seed on 2024-02
Artificial Intelligence • SaaS • B2B
Soulside AI is an AI-driven SaaS platform built specifically for behavioral health providers that automates clinical documentation, compliance, revenue cycle management, and attendance for individual and group sessions. The system uses patent-pending speaker recognition and advanced audio processing to create accurate, per-participant notes, integrates with any EHR for one-click note transfer, and provides real-time clinical and operational analytics while maintaining HIPAA-compliant, zero-audio-storage security. Designed for B2B deployment in treatment facilities (mood disorders, substance use, eating disorders and similar programs), Soulside AI emphasizes rapid implementation, measurable time savings, and hands-on support for adoption and compliance.
• Full-Stack Feature Development: Build and maintain responsive, high-fidelity web applications using React and TypeScript, backed by core services written in Spring Boot. • Backend & Distributed Systems: Architect and develop backend services that process sensitive healthcare data, leveraging message queues and streaming platforms (SQS, Kafka, Kinesis) for high-volume asynchronous workloads. • Complex Data Implementation: Design and implement the technical logic and schemas that power the platform, translating multifaceted domain requirements into structured, scalable configurations across the frontend and backend. • LLM Integration: Design and optimize LLM pipelines, including prompt engineering, usage monitoring, and quality assurance to validate structured AI outputs. • Reliability & Observability: Implement monitoring, alerting, and observability (e.g., Prometheus, Grafana), along with data reliability patterns such as redundancy, retries, and graceful failure handling. • Security & Compliance: Apply security best practices using Spring Security, implement RBAC, and help ensure HIPAA compliance for clinical data. • Platform Reliability: Proactively identify, troubleshoot, and resolve bugs and support issues across the stack to ensure a seamless experience for clinicians. • Foundational Decisions: Make technical decisions—and build the internal tooling and workflows—that will scale as we grow from ten clinics to ten thousand. • Collaboration: Work directly with founders and clinical teams to translate healthcare needs into scalable technical solutions.
• 2+ years of software engineering experience building production applications. • Strong proficiency in TypeScript and JavaScript, with hands-on experience building interfaces in React. • Experience managing complex application state and data flows on the frontend. • Familiarity with modern CSS frameworks (Tailwind, etc.) and responsive design. • Solid backend experience with Java and the Spring Boot framework for building production-grade services. • Experience designing and consuming REST APIs and integrating frontend and backend systems. • Familiarity with distributed systems and message queues / streaming platforms (SQS, Kafka, or Kinesis). • Working knowledge of cloud infrastructure (AWS preferred—EC2, ECS/EKS, auto-scaling). • Ability to thrive in a fast-paced, remote startup environment. • Excellent communication skills to collaborate with both technical and non-technical team members. • Must be authorized to work in the United States.
• Comprehensive health, dental, and vision insurance. • Flexible work arrangements with a remote-first culture (USA-based). • Direct access to founders and influence on company direction. • Professional development budget and conference attendance. • Modern tech stack and autonomy over technical decisions. • Opportunity to help build something meaningful that impacts mental health at scale.
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