Mocksi.ai | San Francisco, CA (On-site) | Full-time
Want to surf with the best? 🏄‍♀️
We're looking for our first AI Engineer to help build the future of intelligent infrastructure. If you've ever felt the frustration of wrestling with clunky workflows, this is your chance to create the seamless experiences you've always envisioned.
The Opportunity
AI isn't here to replace thoughtful engineering—it's here to amplify our collective potential. At Mocksi.ai, we're building AI-powered demo creation infrastructure that transforms how B2B companies showcase their products. We're solving the fundamental challenge of enterprise sales velocity—turning weeks of custom demo preparation into minutes of AI-generated, perfectly tailored demonstrations.
You'll be joining during the classic disruption phase—where AI-native solutions gradually transform entire industries. This isn't just about building features; it's about architecting the foundation for how enterprise software will be demonstrated, customized, and sold for years to come.
What You'll Create
- Full-Stack AI Products: Own the entire user journey from natural language conversation to reliable backend execution
- Thoughtful Infrastructure: Build systems that are not only scalable but maintainable and kind to the humans who operate them
- AI Demo Generation Systems: Design and implement AI architectures that understand complex SaaS products and automatically generate tailored demonstrations for any customer scenario
- SaaS-Replicating Agents: Build specialized AI agents that can understand frontend, backend, and data layer behavior to create perfect demo environments
- Contextual Business Logic Models: Create AI systems that understand interconnected business logic and can modify applications to match specific customer use cases
- Enterprise Demo Infrastructure: Build scalable systems that replace weeks of engineering work with minutes of AI-powered demo generation
- Customer-Aware Customization: Design AI that understands customer context and automatically tailors demonstrations to their specific industry, use case, and requirements
Your Background
Technical Foundation:
- Systems Leadership: 5+ years building production systems in Python and/or Go, with demonstrated experience architecting solutions that scale across teams and organizations
- API Mastery: Proven track record designing interfaces that developers actually enjoy working with, with experience in both REST and modern protocols
- AI/ML Expertise: Deep experience with LLMs, vector databases, and AI orchestration frameworks—you understand the nuances of building reliable AI systems
- Technical Depth: You've debugged complex distributed systems, optimized performance at scale, and made architectural decisions that influenced entire engineering organizations