Full Stack or Backend GenAI Developer Assessment Platform

Company Description

VibeLevel.ai is re-imagining how candidates are screened for the AI Era. Its AI-native skills assessment platform built for modern hiring teams and builders in the AI era. The platform offers real-world AI work environments so candidates can demonstrate how they build, ship, and collaborate using production-grade AI tools such as Copilot, Claude Code, ChatGPT, and more. Hiring teams use VibeLevel.ai to automatically narrow large applicant pools down to a few proven finalists.

We're looking for a mid-level full stack 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.

LOCATION : Hyderabad, India ( Onsite )

Minimum Experience : 4+ years

1) - 4+ and has 2 yrs in - , , , mcp's etc

2) You will need to take a hands-on AI Coding assessment to get shortlisted for the Interview round.

: https://www.vibelevel.ai/take/oqBRZlqM

- 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

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

- 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