NB: YOU WILL BE PART OF THE VEEBA TEAM. WE PAY OURSELVES WITH EQUITY TILL WE GET FUNDED OR CAPITAL
About Us
At Veeba AI (https://veeba.ai), we are on a mission to revolutionize web development. We believe creating a beautiful website should be as simple as describing it. We are building a cutting-edge platform that transforms user prompts into production-ready websites in minutes. We are looking for a brilliant and passionate backend engineer to join our founding team and build the core intelligence of our product.
The Opportunity
As the Founding Backend Engineer, you are the architect of our "magic." You will own the entire AI pipeline, from interpreting a user's idea to generating a complete, functional codebase. You will build the engine that powers Veeba AI, working at the absolute forefront of generative AI and cloud engineering.
What You Will Do
Architect the Core System: Design and implement the scalable, robust backend and cloud architecture for our entire platform.
Build the AI Engine: Develop and fine-tune the AI pipeline responsible for interpreting user needs and generating code. This includes:
Ingestion & Prompt Engineering: Create systems to process prompts and extract key entities for our models.
AI Orchestration: Use frameworks like LangChain or LlamaIndex to manage the complex flow from prompt to generated code.
Model Integration: Integrate and fine-tune Large Language Models (e.g., Gemini, GPT-4, Claude 3) for logic, content, and code creation.
Vector Search: Implement RAG techniques using vector databases (Pinecone, Chroma DB) to provide contextual memory and style templating.
Engineer Advanced Code Generation: Design the core logic that translates AI-generated layouts into high-quality codebases, including Next.js (React), Vue.js, and TypeScript.
Develop Backend Services: Build all necessary backend services in Python or Node.js for user authentication, project management, and API endpoints.
Manage Deployment & MLOps: Deploy the application and manage the lifecycle of our AI models on cloud infrastructure (AWS, GCP, Azure).
Who You Are
An experienced software engineer (5+ years) with deep expertise in backend development (Python or Node.js).
Proven, hands-on experience building with and integrating Large Language Models (LLMs) via APIs.
Direct experience with AI orchestration frameworks (LangChain, LlamaIndex).
Familiar with vector databases (Pinecone, etc.) and the RAG architecture.
A strong architect with experience deploying scalable applications on cloud platforms (AWS, GCP, Azure).
Excited by the entrepreneurial journey and motivated by building something impactful from scratch.
Possesses a strong portfolio (GitHub) showcasing complex backend and/or AI projects.