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

HeartStamp Inc

New Jobs

Technical Lead – Platform & AI Infrastructure (Founding Team)