AI-Integrated SaaS Backend — Claude/GPT APIs, FastAPI, Cloud Deployment & Automation

About this Gig

I build production-ready AI-integrated backends and SaaS platforms — the systems that turn LLM APIs into real, paying products. Most "AI builders" can stitch a prompt to a frontend. Few can actually ship it: secure cloud deployment, caching to keep API costs sane, scrapers that don't break, a database that scales, CI/CD that doesn't blow up at 2 AM. That's where I work. What I'll build for you: - AI-powered backends using Claude, GPT, or other LLM APIs — ranking, classification, generation, intelligent data processing - FastAPI / Node.js services with proper authentication, rate limiting, and clean REST endpoints - Automated web scraping with Playwright for data ingestion from any platform - SaaS infrastructure on AWS — EC2, S3, RDS PostgreSQL, Lambda, ECS, Fargate - CI/CD pipelines in GitHub Actions, GitLab, or Jenkins — zero-downtime deployments on every merge - Containerization with Docker, orchestration with Kubernetes, and Argo CD - Caching layers with Redis to cut API latency and reduce LLM costs A recent build (live in production): The Career Intelligence System — a FastAPI backend that ranks and analyzes career data using Claude AI, scrapes job platforms via Playwright, persists to Supabase (PostgreSQL), caches with Redis, and deploys to AWS EC2 via GitHub Actions on every commit—dockerized end-to-end. Tech stack: Python (FastAPI), Node.js, Claude API, OpenAI API, Playwright, Docker, Kubernetes, AWS (EC2, S3, RDS, Lambda, ECS, Fargate), Azure, GitHub Actions, GitLab CI, Jenkins, Argo CD, PostgreSQL, MongoDB, Supabase, Firebase, Redis, Nginx, CloudWatch. How I work: Clear scope before we start. Async-friendly across time zones—code committed to your repo (not mine). Infrastructure is documented so you can hand it off later. No black boxes. Credentials: - Certified DevOps Engineer - HCCDP Solution Architect Professional - Oracle Multi-Cloud Professional - IBM ML with Python Send me what you're trying to build. If it's a fit, I'll come back with a scope and a timeline — no fluff.

Requirements

To start cleanly, I'll need: - A clear goal — what should the system do, and what does "done" look like for v1? - API keys — Claude/OpenAI/other LLM keys, plus AWS or other cloud account access (or I can set up new ones under your name) - Existing code or designs — repos, Figma files, API docs, or schemas if you have any - Data sources — if I'll be scraping or integrating, links to the platforms or sample data - Hosting preferences — AWS, Azure, your own VPS, or open to my recommendation - Timeline & priorities — what's the hard deadline, and which features are must-have vs. nice-to-have If you don't have all of this, no problem. We can do a 20-minute scoping call to figure it out together.

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