About the Company:
Posh AI is an AI-powered training platform that uses realistic voice and chat simulations to help employees practice real-world customer and workplace scenarios.
The platform provides instant AI feedback, performance scoring, and analytics to improve skills, confidence, and readiness.
About The Role:
We're looking for a full-stack engineer to join the team building Posh AI Simulator, a B2B platform that lets learners practice real-world conversations with AI-powered avatars via text chat and live voice.
The platform serves financial services companies and L&D; teams who need scalable, measurable role-play training — onboarding, compliance practice, and coaching at scale.
You'll work across the entire stack: a React SPA, a Supabase Postgres backend with 50+ Deno edge functions, and deep integrations with large language models, Auth0, and enterprise LMS standards.
What You'll Work On
Building and iterating on learner-facing simulation experiences (chat and real-time voice) and the admin/content-creation studio
Designing and maintaining Postgres schemas, RLS policies, and RPCs for a multi-tenant data model
Writing Deno edge functions that orchestrate LLM calls — chat, voice sessions, evaluation, document parsing, insight generation
Integrating with enterprise learning systems via xAPI and LTI 1.3
Shipping analytics and insights features that help team leads understand learner performance
Maintaining a clean, type-safe TypeScript codebase with strong test coverage using Vitest and React Testing Library
Tech Stack
Frontend: React 18, TypeScript, Vite, React Query, Zustand, Tailwind CSS, shadcn/ui
Backend: Supabase (Postgres, Auth, Storage, Edge Functions), Deno, Row-Level Security
AI: LLMs for chat, real-time voice (WebRTC),



embeddings, and tool calling
Auth: Supabase Auth, Auth0 enterprise SSO
LMS: xAPI, LTI 1.3, HMAC-signed launch URLs
Infra: AWS S3 (static hosting), GitLab CI, Groundcover observability
Email: Resend with React Email templates
What We're Looking For
Strong TypeScript skills and experience with modern React patterns (hooks, React Query, Zod)
Comfort working with Postgres — schema design, migrations, RLS, and stored procedures
Experience building or integrating with LLM APIs
Ability to write edge functions / serverless handlers (Deno or Node background is fine)
Product instinct — you can translate a vague requirement into a well-scoped implementation
A bias toward simple, well-tested code; you write tests as part of the work, not after
Advanced English proficiency (B2–C1 or higher)
Bonus Points
Experience with real-time audio/WebRTC or voice AI
Familiarity with xAPI, SCORM, or LTI integrations
Multi-tenant SaaS background
Financial services or regulated-industry domain knowledge
What to Expect
You'll ship features that directly affect how thousands of learners practice and improve.
The codebase is modern and well-structured, deployment is automated, and the team moves fast.
You'll have real ownership over both product direction and technical decisions.
Nice to Have
Deno experience
Supabase + RLS
WebRTC
xAPI/LTI/SCORM
What We Offer
We welcome new ideas and allow you to make an immediate impact on the team.
Flexible Paid time off (PTO for any reason, including sick days (no specified limits) and adaptable work schedule.
Health/Sport Budget.
Fully remote.
As this is an English-speaking role, we kindly ask that all applications be submitted with a CV in English.
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📌 Full-Stack Engineer — Ai Training Simulator For Posh (Santa Fe)
🏢 TurnKey Labs
📍 Santa Fe