Full Stack or Backend GenAI Developer – Assessment Platform

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We're an early-stage founding team building a global product. We can offer a founding-team seat on a global AI product and a genuine path to Co-Founder or CTO with equity. If you're optimizing for learning, ownership, and long-term upside over short-term pay, we would like to you to explore this.

We're looking for a mid-level full stack or backend engineer with a product mindset and genuine fire for building AI-native systems. You'll work directly with the founding team, own features end-to-end, and use AI coding tools Claude Code, GitHub Copilot as a core part of how you work. If you want to ship a global AI product and grow into a technical leadership role, apply.

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- Strong Python FastAPI, async/await, Pydantic

- PostgreSQL Building scalable and schema evoluation/fleaxbile data model design experience

- Expertise with LLM SDK's prompt engineering, func tool calling, context management, structured outputs, chat session mgt

- CloudFare, Vercel, Fly.io, Docker, CI/CD

- Proficient with AI coding assistants (Claude Code, GitHub Copilot, Cursor) in daily workflow

- Background in EdTech, HRTech, or developer tools

Take this assessment : https://www.vibelevel.ai/take/oqBRZlqM

Your application will be shortlisted based on the above assessment score for video interview

Familiarize with the platform using the practice assessments at https://www.vibelevel.ai/?tab=practice

- Design and build scalable agentic REST APIs and background processing pipelines

- Extend our LLM-based scoring engine multi-dimension candidate evaluation, structured outputs, streaming

- Build async task processing scoring pipelines, resume analysis, webhook handlers

- Work with cloud storage, session persistence, and PostgreSQL at scale

- Collaborate on LangChain / LangGraph multi-agent workflows

- Write clean, well-tested, observable code with proper logging and error handling

- Use Claude Code and GitHub Copilot as expert AI collaborators to deliver fast, reliable, production-grade code