Applied AI Engineer ( Remote - North American Timezones)

Das ist der Job

We recently raised our seed round and are growing quickly.

Darum lohnt es sich

Location: Boulder CO, NYC, or Remote (North America) Type: Full-Time Stage: Seed-stage, high-growth startup Comp: Salary ($125k-200k) + equity + benefits Company: Mostest Help build the AI operating system for events.

Nice to Have Bonus points if you have experience with: AI chat interfaces and agentic UX LLM evals and regression testing Security/privacy patterns for AI systems Data ingestion and entity resolution pipelines Building “compounding engineering” systems that make teams faster over time Extra: Full-stack engineering depth This is a small team, so being able to step into other aspects of the stack to unblock tasks and enable velocity is a big add.

We value experience delivering production systems end-to-end using: TypeScript React Next.js (App Router preferred) Modern API and server-side application patterns What We’re Looking For Within this role, success looks like building: Fast, accurate vendor discovery and matching workflows Reliable AI-powered planning experiences users trust Maintainable systems where quality scales with speed Reusable engineering patterns that compound over time A codebase where AI-assisted development increases leverage without increasing chaos Compensation & Benefits Salary + Equity based on experience for a salary range: $125 - 200k Flexible, outcomes-first work (remote-friendly across North America) Health and dental coverage Unlimited PTO with an emphasis on sustainable pace #J-18808-Ljbffr We’re building the future of events: software that helps people plan extraordinary events, instantly source and book perfect vendors, and execute flawlessly with AI weaving the experience.

This role, Applied AI Engineering, is a core function of the company, not a bolt-on specialty. We’re looking for an exceptional Applied AI Engineer to help architect and build intelligent systems at the heart of the product, laying the foundation for a continuously improving system.

This is a role for someone who likes shipping fast, thinking in systems, and turning emerging AI capabilities into durable product advantages. What you’ll do You’ll work across product, infrastructure, and AI systems to build core experiences that power vendor discovery, planning/booking workflows, matching, recommendations, and automation.

You’ll design and ship: LLM-powered product workflows using retrieval, structured outputs, tools/function calling, and orchestration Search, matching, and recommendation systems across large vendor and event datasets Multi-step backend pipelines for ingestion, enrichment, ranking, and workflow automation Production-grade product features through to full-stack Next.js Applications.

Multi-tenant permissions systems (RBAC, scoped access, authorization patterns) Observability and evaluation systems for AI reliability, quality, and cost balancing Internal engineering patterns for compounding engineer that make AI-assisted development faster and safer Must Have Applied AI workflow experience You’ve designed and shipped LLM-backed systems in production, such as: Agents or assistants (conversational) RAG / retrieval systems Tool or function calling Eval harnesses Reliability patterns Data + platform expertise Strong hands-on experience with: Postgres schema design and performance tuning Supabase (Auth, RLS, migrations) Search and retrieval systems Embeddings, ranking, chunking, hybrid retrieval Workflow orchestration, queues, idempotent jobs, async processing Background services on platforms like Render Systems judgment Strong instincts around where rigor matters: Auth and permissions Cost balancing Data integrity Testing and CI Observability and instrumentation Reliability, security, and operational discipline AI-native engineering practice You actively use tools like Claude Code, Cursor, Codex, Gemini, or equivalent to accelerate delivery without sacrificing quality.