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.

𝐓𝐡𝐞 𝐑𝐨𝐥𝐞

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) 𝐃𝐎 𝐍𝐎𝐓 𝐀𝐏𝐏𝐋𝐘 - 𝐈𝐟 𝐲𝐨𝐮 𝐝𝐨𝐧'𝐭 𝐡𝐚𝐯𝐞 𝐌𝐢𝐧𝐢𝐦𝐮𝐦 4+ 𝐲𝐞𝐚𝐫𝐬 𝐨𝐟 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 and has 2 yrs in 𝐋𝐚𝐧𝐠𝐂𝐡𝐚𝐢𝐧 𝐚𝐧𝐝 𝐦𝐮𝐥𝐭𝐢-𝐚𝐠𝐞𝐧𝐭 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 , 𝐩𝐫𝐨𝐦𝐩𝐭 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠, 𝐟𝐮𝐧𝐜 𝐭𝐨𝐨𝐥 𝐜𝐚𝐥𝐥𝐢𝐧𝐠, mcp's etc

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

𝐇𝐨𝐰 𝐭𝐨 𝐀𝐩𝐩𝐥𝐲 : 𝑲𝒊𝒏𝒅𝒍𝒚 𝒕𝒂𝒌𝒆 𝒕𝒉𝒊𝒔 𝒂𝒔𝒔𝒆𝒔𝒔𝒎𝒆𝒏𝒕 𝒂𝒏𝒅 𝒐𝒖𝒓 𝒕𝒆𝒂𝒎 𝒘𝒊𝒍𝒍 𝒈𝒆𝒕 𝒃𝒂𝒄𝒌 https://www.vibelevel.ai/take/oqBRZlqM

𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬

• 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

𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬

• 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