Full Stack Developer for LLM Web App

Job ID: 39683717

Budget: $30 – $250 USD

Job Description:
We are looking for a highly skilled Full Stack Developer to help us build the Minimum Viable Product (MVP) for an innovative project involving Large Language Models (LLMs). This is an exciting opportunity for someone passionate about AI, who thrives in a fast-paced, startup-like environment, and can deliver high-quality work independently.
You will be responsible for building the initial version of the platform end-to-end – from front-end UI to back-end services and model integration.

Responsibilities:
Design and implement scalable, maintainable front-end and back-end components
Integrate LLM APIs or open-source models (e.g., OpenAI, Hugging Face)
Build a secure and intuitive user interface for interacting with the LLM features
Develop and manage cloud-based infrastructure (e.g., AWS, GCP, or similar)
Write clean, efficient, and well-documented code
Ensure high performance, reliability, and responsiveness of the application
Collaborate directly with the founder to iterate on features and functionality

Requirements:
Proven experience as a full stack developer (5+ years preferred)
Strong proficiency in both front-end and back-end technologies
Frontend: React, Next.js
Backend: Node.js, Express, Python (FastAPI or Django).
Familiarity with working with LLM APIs (OpenAI, Claude, Cohere, etc.) or open-source LLMs
Experience with cloud platforms and DevOps (e.g., AWS, Firebase, Docker, CI/CD)
Solid understanding of API design, authentication, and data security
Ability to work independently and deliver quickly
Excellent communication skills and attention to detail

Nice to Have:
Prior experience building LLM-based applications or chat interfaces
Knowledge of vector databases or embeddings (e.g., Pinecone, Weaviate, FAISS)
UI/UX design skills or experience using tools like Figma

Compensation:
To be discussed based on experience and project scope. Competitive for the right candidate.

How to Apply:
Examples of LLM or AI-related work (if available)