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Head of Engineering, DentalScan Feature

ReplyQuickAI

Location: Sarasota, Florida
Type: Temporary (unspecified), Remote
Posted on: October 18, 2025
This job is no longer available from the source.
Head of Engineering, DentalScan Feature
Why This Role Stands Out At ReplyQuick, you won’t just be leading code, you’ll be leading an entire product vertical that fuses AI vision, compliance, and real-world healthcare workflows.
Our DentalScan module transforms preventive dentistry through patient-facing AI scans, secure uploads, and automated D9996 claim reports, helping dental offices detect oral issues earlier and file faster.
You’ll own the entire technical lifecycle: frontend, backend, ML integration, compliance, and deployment, coordinating across engineering, product, and legal. This role requires both strategic architecture depth and hands-on leadership across the stack.
If you can move a cross-functional team from concept to compliance-approved production, while managing HIPAA-level data flows and ML integrations, this role is built for you.
The Role We are hiring one Head of Engineering, DentalScan Feature to take full ownership of architecture, delivery, and regulatory integrity.
You will lead a multi-disciplinary team (frontend, backend, ML, and legal compliance) to bring the DentalScan product from working prototype to a fully deployable SaaS solution inside the ReplyQuick ecosystem.
Your leadership will directly define how AI integrates into healthcare operations, from scan upload UX to claim automation pipelines.
Key Responsibilities • Architect and lead all technical layers for DentalScan: frontend (Next.js), backend (Node/FastAPI), and ML (vision inference endpoints).
• Supervise Supabase schema, signed upload workflows, API structure, and RLS compliance.
• Integrate ML models into production (YOLOv8-based detection pipeline + async job queue).
• Build out HIPAA/GDPR/LGPD-compliant data handling end-to-end, including consent registry, audit trails, retention policies, encryption, and anonymization.
• Collaborate with the compliance and legal team to ensure insurance workflows (D9996) meet documentation and consent requirements.
• Own PDF generation (patient and insurer reports) and ensure reproducibility of claim data.
• Drive cross-team execution, coordinating Rahul and Tony (backend), Daki and Nikhil (frontend), ML subteam, and Mira and Harshini on compliance and copy review.
• Review code and architecture for security, scalability, and audit readiness.
• Define release phases, QA checkpoints, and technical milestones across environments.
• Report progress directly to the founding team and CTO, with accountability for end-to-end delivery.
Requirements Only apply if you meet at least 90% of these:
• 7+ years of experience leading full-stack SaaS or AI healthcare projects.
• Expert in React / Next.js, Node.js / FastAPI, and Postgres/Supabase.
• Proven record of AI model integration into production (ML ops, inference pipelines, async jobs, error handling).
• Experience implementing HIPAA/GDPR/LGPD compliance, consent handling, and medical data storage.
• Understanding of PDF and claim form generation workflows (especially D9996 or similar).
• Strong grasp of system design, data security, and RLS.
• Ability to translate specifications into sprint plans and own the full roadmap without external direction.
• Excellent communicator, capable of clear written plans, architectural diagrams, and progress reports.
• Prior experience coordinating multi-disciplinary remote teams.
• Bonus: experience with telecom or real-time messaging platforms.
Details • Role: Head of Engineering, DentalScan Feature
• Duration: Contract (with option to transition to full-time)
• Hours: 25–35 hours/week, flexible
• Location: Remote
• Meetings: Daily standup, end-of-week alignment
• Start Date: Immediate
• Team Size: 15+ engineers (frontend, backend, ML, compliance, product)
Why Join Us • Lead a full-stack, real-world AI product with immediate use in dental offices.
• Work with ML engineers, compliance advisors, and SaaS experts across time zones.
• Build infrastructure that meets HIPAA, GDPR, and LGPD at scale.
• Define the engineering blueprint for how AI can legally operate in healthcare.
• Gain visibility with investors and technical advisors tracking our product milestones.
• Potential to convert into a CTO-track or permanent leadership role after funding.
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