AI Full Stack Engineer

Role Overview

We are looking for a talented AI Full-Stack Engineer (23 years experience) who can build, ship, and maintain AI-powered applications end-to-end. You'll work closely with our product and engineering teams to design scalable architectures, integrate LLMs, and deliver high-quality user experiences.

Key Responsibilities

Develop and maintain full-stack applications with AI/LLM integrations.

Build scalable backend services, APIs, and microservices for AI workflows.

Implement responsive, modern front-end interfaces for user-facing products.

Fine-tune, prompt-engineer, or integrate LLM models (OpenAI, Anthropic, Meta, etc.).

Optimize model inference performance, caching, and latency.

Work with vector databases, embeddings, and retrieval systems.

Collaborate with product, design, and leadership to turn ideas into shipped features.

Ensure code quality with proper testing, documentation, and version control.

Required Skills & Qualifications

23 years of professional experience as a Full-Stack or AI Engineer.

Strong knowledge of:

JavaScript/TypeScript, Node.js, Express / Next.js

React / Next.js for front-end

Python (for AI integrations, model pipelines)

REST APIs & WebSockets

Experience integrating LLM APIs or open-source AI models.

Understanding of vector databases (Pinecone, Chroma, Weaviate, Qdrant).

Hands-on experience with cloud platforms (AWS / GCP / Azure).

Strong problem-solving and debugging skills.

Ability to work in a fast-paced startup environment.

Preferred Skills

Experience with LangChain, LlamaIndex, or similar frameworks.

Knowledge of Docker, CI/CD pipelines, and container orchestration.

Experience with prompt engineering or RAG systems.

Basic UI/UX understanding for clean user experience development.

What We Offer

Fast-paced growth in a product-focused AI startup.

Ownership and autonomy in building impactful AI systems.

A collaborative team working on cutting-edge AI technology.

• Competitive compensation based on skill and experience.