Responsibilities

Engineering Ownership

Own and lead development of our Duolingo-style AI learning platform from architecture to

launch

Lead a team of ~10 engineers sprints, code reviews, and engineering standards

Deliver client projects including voice agents, chatbots, and CRM integrations end-to-end

Manage AWS infrastructure, CI/CD pipelines, and production deployments

Drive performance, reliability, and scalability across all products

Requirements

Full Stack Development

Strong Python backend APIs, async frameworks, server-side logic

Strong JavaScript/TypeScript Node.js backend and React/Next.js frontend

Ability to architect, build, and ship both backend and frontend independently

Database experience SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/Supabase)

AI & LLM Integration

Hands-on experience with OpenAI, Anthropic, or Gemini APIs in production

Prompt engineering and RAG (Retrieval Augmented Generation) systems

Experience integrating AI/LLM features into real user-facing products

Infrastructure & DevOps

AWS (EC2, S3, Lambda) or equivalent cloud platform

Docker, CI/CD pipelines built and managed independently

Track record of shipping and monitoring complete production systems

Integrations

Experience with third-party integrations WhatsApp, Telegram, or similar APIs

Familiarity with CRM platforms like GoHighLevel, HubSpot, or similar

Workflow automation tools such as n8n, Make, or Zapier a plus

Leadership

Managed or mentored at least 23 developers

Ability to run sprints, conduct code reviews, and uphold engineering standards

Strong independent execution takes context and runs without repeated follow-ups

AI Coding Tools

Daily usage of Claude Code, Cursor, or similar non-negotiable

Technical Lead (Full Stack)