Explicitly requires vibe coding skills—rapid prototyping with tools like Lovable and Emergent and AI-assisted/low-code build systems.
About the Role
Build rapid, production-minded prototypes, demos, and MVPs that showcase Lexsi’s AI use cases by moving quickly from idea to working application. Use rapid-development platforms (e.g., Lovable, Emergent) while applying strong engineering judgment, maintainable architecture, and end-to-end implementation across frontend, backend, APIs, and AI integrations.
Job Description
Role
Lexsi Labs is hiring a Vibe Coding Engineer to rapidly design and build high-quality prototype applications, customer demo apps, and MVP products that concretely demonstrate core AI use cases in enterprise workflows. The focus is speed with engineering discipline: deliver working, credible, and extensible applications that can evolve toward production.
Key Responsibilities
- Build fast, working applications for customer presentations, solution demos, enterprise workflows, and internal experiments.
- Use rapid app-development platforms (e.g., Lovable, Emergent) and similar low-code / AI-assisted tooling to accelerate prototype and MVP delivery.
- Implement end-to-end experiences across frontend, backend, workflows, APIs, data integrations, and AI system integrations.
- Translate ambiguous product ideas, sales requirements, or workflow concepts into polished, usable applications on short timelines.
- Ensure prototypes are built on durable engineering foundations so successful MVPs can transition toward production.
- Reuse patterns, components, and architecture primitives to increase velocity without sacrificing maintainability.
- Collaborate closely with product, engineering, research, and GTM teams to identify high-value use cases and deliver working demos.
Requirements
- Strong engineering background with solid fundamentals in application development, backend systems, APIs, integrations, and product architecture.
- Proven ability to build working apps quickly (not just mockups or fragile demo code).
- Experience using or adapting rapid-development tooling such as Lovable, Emergent, low-code, or AI-assisted build systems.
- Strong product understanding and ability to convert abstract use cases into believable end-user experiences.
- Good engineering judgment: know what to hack versus what to build cleanly from the start.
- Experience building MVPs, internal tools, prototypes, or customer-facing applications end-to-end.
- Comfort working in ambiguity and turning incomplete ideas into clear, executable systems.
- Strong ownership and a bias toward execution.
Strong Bonus Signals
- Experience building enterprise apps, internal platforms, copilots, workflow tools, or AI-native products.
- Experience taking prototypes into production or near-production.
- Strong taste in UX and product flow design for demos and business applications.
- Familiarity with enterprise integrations, dashboards, workflow automation, and AI-backed applications.
Success Metrics
- Customer use cases become working applications rather than slides.
- Internal ideas become MVPs in days, not months.
- Prototypes are fast to build but stable enough to be reused and extended.
- Demo apps clearly reflect and accelerate the value of Lexsi’s AI solutions in enterprise environments.