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HIGH-IMPACT ROLE

Full Stack Developer for AI Product

As a Full Stack Developer for AI Products, you'll be architecting and building end-to-end AI-powered applications that transform how people interact with technology. You'll bridge the gap between cutting-edge machine learning models and intuitive user interfaces.

Your Tech Arsenal

Backend: Python

FastAPI, Flask, Django for building robust APIs that power AI services and handle real-time data processing.

Frontend: React/Next.js

TypeScript, React, Next.js, Vue.js for creating dynamic, responsive interfaces with seamless AI integration.

AI/ML Integration

LLMs, OpenAI API, Hugging Face, prompt engineering, and RAG systems for intelligent automation.

Databases

PostgreSQL, MongoDB, Redis, vector databases for efficient data storage and retrieval in AI workflows.

Cloud & DevOps

Docker, AWS/GCP, CI/CD pipelines for deploying scalable AI applications to production.

API Design

RESTful APIs, GraphQL, WebSockets for real-time communication and seamless data exchange.

What You'll Build

example.python
# Example: AI-Powered Chat API
from fastapi import FastAPI
from openai import OpenAI
app = FastAPI()
client = OpenAI()

@app.post("/chat")
async def ai_chat(message: str):
    response = await client.chat.completions.create(
        model="gpt-4",
        messages=[{"role": "user", "content": message}]
    )
    return {"reply": response.choices[0].message.content}

Real-World AI Projects

AI Chatbots

Build intelligent conversational agents with context awareness, multi-turn dialogues, and custom knowledge bases.

Recommendation Systems

Create personalized recommendation engines using collaborative filtering and deep learning models.

Data Analytics Dashboards

Develop interactive dashboards with AI-powered insights, predictive analytics, and data visualization.

Intelligent Search

Implement semantic search with vector embeddings, natural language processing, and RAG architecture.

Automation Tools

Build AI agents that automate workflows, process documents, and handle complex business logic.

Generative AI Apps

Create applications leveraging DALL-E, Midjourney APIs, and custom generative models for content creation.

Skills You'll Master

Python
TypeScript
React
Next.js
FastAPI
Flask
PostgreSQL
MongoDB
Redis
OpenAI API
LangChain
Vector DBs
Docker
AWS/GCP
REST APIs
GraphQL
WebSockets
Prompt Eng.
RAG Systems
CI/CD

AI Development Certification

Complete your internship and receive an Official Certificate validating your expertise in Full Stack AI Development, Machine Learning Integration, Cloud Deployment, and Modern Web Technologies. This certification demonstrates your ability to build production-ready AI applications.

Ready to Apply?

Send your CV, portfolio, and a brief introduction to our team. We can't wait to see what you've created.

Apply Now

hire-wp@cyrus365.com