Bachelor's degree in Computer Science, Business Analytics, or similar field (or equivalent experience).
5+ years in end-to-end production software product development.
Strong full-stack experience with React/Next.js for web and React Native/Expo for mobile applications.
Experience deploying live applications on App Store and Google Play Store.
Familiarity with AI/LLM platforms such as Claude or Anthropic in production environments.
Strong cloud infrastructure skills, particularly with AWS.
Hands-on experience with CI/CD pipelines and monitoring tools.
Responsibilities
Own and manage the technical aspect of the AI platform and applications.
Develop, launch, and maintain production-ready web and mobile applications.
Optimize AI/LLM systems for scalability, performance, and cost.
Create real-time features like live video and chat for enhanced user interaction.
Handle AWS infrastructure, CI/CD, and production operations across services.
Build scalable backend services, APIs, and machine learning infrastructure.
Collaborate with stakeholders to harness AI for improving operational efficiencies.
Benefits
Fun work environment with a collaborative team in a great location!
Flexible work schedule including remote options.
Comprehensive medical, dental, vision, and life insurance coverage, plus employee assistance and pet insurance.
Generous paid time off policy including vacation and sick leave.
Employee discounts at various venues and events, and exclusive access to shows.
Full Job Description
The Full Stack Engineer (AI Platform & Product) will:
Serve as the primary technical owner across the company's AI platform, infrastructure, web, and mobile applications in a highly autonomous environment.
Build, launch, and maintain production-ready applications and features across web, iOS, and Android platforms.
Manage and optimize AI/LLM systems, including performance, scalability, reliability, and cost efficiency across production environments.
Build and support real-time platform features including live video, streaming, chat, and interactive user experiences.
Own AWS cloud infrastructure, deployments, CI/CD pipelines, and production operations across multiple services and environments.
Build and maintain scalable backend services, APIs, data pipelines, and cloud-based machine learning infrastructure.
Support AI-powered recommendation, moderation, and automation initiatives through scalable cloud and machine learning solutions.
Collaborate with operational and business stakeholders to identify opportunities where AI and technology can improve efficiency, scalability, workflows, and guest experience.
Partner with leadership to help evaluate operational challenges, prioritize technical initiatives, and shape long-term product and platform strategy.
Monitor system health, troubleshoot production issues, and improve observability, alerting, and operational reliability.
Operate with end-to-end ownership across architecture, development, deployment, support, and scaling of systems and applications.
Establish engineering standards, tooling, infrastructure, and technical best practices as the organization builds its internal technology function.
Leverage modern AI tooling, managed services, and pragmatic engineering solutions to efficiently build and scale systems.
Other duties as assigned.
Requirements
Bachelor's degree in Computer Science, Business Analytics, or similar field (or equivalent experience).
5+ years of experience building, launching, and maintaining production software products end-to-end.
Strong full-stack engineering experience across web (React/Next.js) and mobile (React Native/Expo) applications.
Proven experience shipping live applications to the App Store and Google Play Store.
Experience working with AI/LLM platforms such as Claude, Anthropic, Bedrock, or similar tools in production environments.
Strong understanding of cloud infrastructure and deployments within AWS environments.
Experience with CI/CD pipelines, infrastructure automation, and production monitoring tools.
Comfortable working across multiple languages and systems, including TypeScript, Go, and Python.
Experience supporting real-time products and features, including live video, streaming, chat, or real-time communication systems.
Ability to troubleshoot, optimize, and support systems in live production environments.
Comfortable owning products and infrastructure with a high level of autonomy in a fast-moving startup environment.
Strong problem-solving, communication, and decision-making skills.
Ability to balance speed, scalability, reliability, and cost when building products.
Excellent communication skills, both written and verbal.
Strong attention to detail, with the ability to multitask.
Ability to work independently as well as collaboratively within a team.
Preferred Requirements
Previous startup, early-stage, or founding engineering experience.
Experience building or supporting live video and real-time streaming products, including mobile broadcasting and low-latency streaming.
Familiarity with creator-platform features such as subscriptions, in-app purchases, and App Store / Google Play compliance requirements.
Experience working with AI infrastructure tools such as LLM gateways, prompt caching, model evaluation, or observability platforms.
Exposure to retrieval systems (RAG), vector search, or AI agent/tool orchestration workflows.
Experience with machine learning infrastructure, recommendation systems, moderation tooling, or MLOps workflows.
Familiarity with high-scale real-time systems, messaging, or event-driven architectures.
Experience with cloud edge/CDN platforms and performance optimization tools.
Understanding of security, authentication, geo-compliance, or identity/access management best practices.
Experience working within monorepos or multi-service engineering environments.
Benefits
Fun work environment in a sweet location with an amazing and collaborative team!
Flexible work schedule to include work-from-home and in-office days
Access to medical, dental, vision, life insurance, short-term & long-term disability, voluntary benefits, and employee assistance program, and pet insurance
Paid time off including vacation, sick leave, and company holidays
Employee discounts at our many venues
Exclusive access to events, shows, and other happenings
