Passionate Full-Stack Developer

We're solving a $75B problem: enterprise document chaos. We ship production AI that untangles regulated knowledge at scale and survives audits. Bootstrapped, soon-to-be profitable, 10 people, compounding fast.

Who are we looking for?

Sky AI is looking for an AI-driven, inspired developer who thinks in systems, not features. You'll build the infrastructure that processes millions of insurance claims, medical records, and legal documents with AI that actually understands context. 80% backend mastery where you architect serverless workflows that scale, 20% frontend finesse to ship complete experiences. AI development tools (Claude Code, Cursor, Devin) aren't optional - they're how you'll ship 10x faster than traditional development.

Tech stack that scales

Backend (where the magic happens):

  • Node.js/TypeScript + AWS Lambda/Step Functions for serverless that actually works
  • SQS & EventBridge for bulletproof event-driven architecture
  • RAG systems that understand documents, not just keywords
  • PostgreSQL for structure, DynamoDB for scale - use the right tool
  • Prisma ORM because raw SQL shouldn't be your day job

Frontend (if any):

  • React/TypeScript with Feature-Slice Design for maintainable scale
  • React Query for data that just works
  • Tailwind + Shadcn UI for interfaces that don't make users cry

AI acceleration is a MUST:

  • Gemini and Claude Code CLI tools
  • Cursor and Windsurf IDE
  • Devin and OpenAI Codex agents - AI tools that make coding feel unfair.

Infrastructure & AI acceleration:

  • Terraform for infrastructure that deploys itself
  • GitHub Actions, Docker, CloudWatch for the critical-but-boring stuff

Ideal candidate

You're perfect if you have:

  • 5-7 years building backend systems that don't break under enterprise load
  • Deep AWS serverless expertise (Lambda, Step Functions, SQS, EventBridge)
  • Hands-on experience with AI development tools (Claude Code, Cursor, Devin)
  • Database mastery: PostgreSQL for relationships, DynamoDB for performance
  • Enough React/TypeScript to ship complete features without handoffs
  • Thrive in async, remote environments with minimal supervision
  • Genuinely excited about AI transforming work - not just riding the hype

Beneficial:

  • Experience with document processing pipelines (PDF, DOCX, OCR)
  • RAG system implementation and optimization
  • Terraform infrastructure management
  • Healthcare/legal document processing domain knowledge
  • Performance optimization for high-volume document processing
  • Real-time features implementation (WebSockets)
  • Testing strategies for full-stack applications
  • Security best practices: SOC2, HIPAA compliance

What you'll actually build

  • Document processing that scales: AWS Lambda workflows handling millions of PDFs, medical records, legal documents without breaking a sweat
  • Event-driven architecture: SQS-based systems coordinating complex workflows across microservices
  • RAG backends that work: Not just another ChatGPT wrapper - real document understanding and analysis: better outcomes
  • APIs built for enterprise: RESTful services that handle Fortune 500 volume and complexity
  • Full-stack features: Jump into React when needed to ship complete user experiences
  • Performance obsession: Make everything faster, cheaper, more reliable

Why join us

Remote-first isn't a perk - it's how we attract global talent. Good salary, reasonable autonomy, and the chance to build AI that millions of workers use daily. No BS meetings, no micromanagement. Just exceptional engineering and outsized impact.

Your trajectory

Become a full-stack AI expert in our lean, focused team. Technical leadership, architecture ownership, and deep impact without bureaucracy. The future is being built now - help us build it.

How we hire

  • Coffee chat: Get to know us, we get to know you (30 min)
  • Technical deep-dive: Real AWS challenges, architecture discussions, AI tooling experience (60 min)
  • Founder conversation: Vision alignment, growth trajectory, mutual excitement check (30 min)

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