Remote Jobs - HeartStamp Inc: Technical Lead – Platform & AI Infrastructure (Founding Team)

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HeartStamp Inc: Technical Lead – Platform & AI Infrastructure (Founding Team)

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Headquarters: Las Vegas
URL: http://www.heartstamp.com

About the Role


HeartStamp is building a generative AI platform for personalized digital expression by combining cutting-edge models, LoRA customization, and a marketplace to turn creative intent into beautifully rendered digital content and high-fidelity, print-ready media. We are launching in the USA, Canada & UK in Q1 2026, with rapid worldwide expansion plans soon after.

We’re hiring a Technical Lead – Platform & AI Infrastructure to architect and build the backend systems that power our content generation, personalization, and monetization engines. You’ll own the development of our scalable cloud infrastructure, modular APIs, credit-based microtransaction system, and the automated pipeline for generating print-ready outputs—forming the technical backbone of the company. You’ll also guide frontend architecture and conduct full-stack code reviews to ensure engineering consistency and performance across the platform.

This is a hands-on, foundational role with high autonomy and influence. You’ll collaborate directly with the CPO and founder to shape our early product, make pragmatic technology choices, and lay the groundwork for a high-trust engineering culture. You’ll also work closely with the AI/ML & Workflow Engineer to ensure our generative stack is fully integrated, secure, and production-ready.

We’re looking for someone with an entrepreneurial mindset who’s excited to move quickly, solve hard problems, and help grow a team around them.


What You’ll Do

Backend & Platform Architecture​

  • Design and implement the modular, service-oriented backend for user accounts, token-based credit balances, asset lifecycle management, and generative task orchestration
  • Build and maintain a robust API layer to serve web, mobile, and internal generative services
  • Architect the Digital Asset Management (DAM) system, linking prompt metadata, LoRA IDs, SKUs, image outputs, and print-ready PDFs
  • Define the core logic for credit throttling, transaction logging, and auditability
  • Implement and oversee the automated pipeline for generating and managing print-ready outputs using HTML-to-PDF engines, including handoff to fulfillment

AI Workflow Integration & Infrastructure​

  • Collaborate with the AI/ML & Workflow Engineer to integrate AI inference pipelines (e.g., ComfyUI workflows, LoRA chaining, ControlNet/IPAdapter support) into scalable backend services
  • Architect a flexible AI service abstraction layer for routing requests to the appropriate model (e.g., SD3.5, SDXL Turbo), managing inference queues, and tracking model usage
  • Define the runtime environment for GPU-accelerated inference, container orchestration, and resource optimization (e.g., Docker, EKS, or similar)
  • Ensure all AI services are deployed securely and reliably within the broader platform architecture

Infrastructure & DevOps​

  • Lead the initial cloud setup using AWS or GCP (final decision TBD), including containerization and orchestration for backend and AI services
  • Establish CI/CD pipelines to support rapid iteration, secure deployments, and high uptime
  • Set up secrets management, logging, monitoring, and cost tracking for the entire system
  • Ensure infrastructure is cost-efficient, modular, and ready for scale

Security & Legal Readiness​

  • Implement role-based access controls, secure credential storage, audit logs, and token expiration policies
  • Ensure architectural alignment with IP and content safety guidelines, including moderation, user input attribution, and DMCA compliance
  • Coordinate with legal counsel and AI providers on licensing enforcement, attribution requirements, and acceptable use policies

Leadership & Collaboration​

  • Serve as the engineering lead for the MVP build, responsible for system architecture and delivery velocity
  • Collaborate cross-functionally with the CPO, founder, and AI/ML engineer to align tech stack decisions with product milestones
  • Mentor future hires and establish best practices for backend, frontend, DevOps, and ML integration
  • Participate in roadmap planning, sprint ceremonies, and product/infra reviews

What You Bring

  • 5+ years experience as a full stack or backend engineer, with experience owning architecture in early-stage or startup environments
  • Proficiency in building API-first applications using modern frameworks (e.g., Python/FastAPI, Node.js, Go)
  • Solid experience with cloud infrastructure (AWS or GCP) and container orchestration (Docker, Kubernetes, EKS/GKE)
  • Familiarity with GPU-based systems, inference orchestration, and integrating third-party AI toolchains
  • Experience building token-based credit systems and integrating payment processors (e.g., Stripe)
  • A practical, collaborative mindset—you enjoy enabling other builders through thoughtful systems design
  • Strong code review and mentorship skills across backend, infra, and frontend disciplines
  • Bonus: Experience designing AI routing logic or building infrastructure for generative model workflows

Location & Team Structure

  • Remote-first, with a preference for U.S. time zones
  • Reports directly to the Chief Product Officer (CPO)
  • Will manage technical direction and engineering best practices for the early team
  • Collaborates closely with the AI/ML Engineer and founder

Why Join Now?

  • Architect the system that powers a modular, creator-friendly AI design platform
  • Own core infrastructure and integrations for a company built on AI-first workflows
  • Build with speed and autonomy—without compromising quality or security
  • Help define an expressive, legally sound system for next-generation visual personalization



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