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Amine Khaoui

@aminekhaoui

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AI Application Engineer building LLM-powered SaaS products end-to-end across web and mobile.

Tunisia

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What I'm looking for

I’m seeking a remote role to build impactful AI products end-to-end—LLM/RAG-powered SaaS from 0 to 1 across web and mobile, collaborating asynchronously with distributed teams.

I’m an AI Application Engineer with 6+ years of experience building AI-powered SaaS products from 0 to 1. I specialize in LLM integration—OpenAI GPT, Google Gemini, and Anthropic Claude—along with RAG architectures, prompt engineering, and production-ready full-stack delivery across web and mobile.

At Neuroboost-AI, I led end-to-end development of education-sector SaaS features, architecting a scalable backend on Firebase Realtime Database and shipping across web and mobile. I also engineered a real-time computer vision pipeline using Python, MediaPipe, and Dlib for automated student concentration monitoring, and I’ve delivered end-to-end remote projects and AI products across multiple international markets.

Experience

Work history, roles, and key accomplishments

Current

Senior AI Software Developer

Current

Neuroboost-AI

Nov 2022 - Present (3 years 6 months)

Led development of AI-driven SaaS features for the education sector, shipping web and mobile capabilities for an early-stage startup. Architected a scalable Firebase Realtime Database backend and built a real-time computer-vision pipeline with Python, MediaPipe, and Dlib to automate student concentration monitoring.

Firebase Realtime Database Python MediaPipe Dlib Web And Mobile Delivery Mediapipe

Software Engineer

Self-Employed

Nov 2020 - Oct 2022 (1 year 11 months)

Delivered full-stack web and mobile projects for international clients across legal, consulting, and education verticals, owning the complete lifecycle from discovery to maintenance. Built and deployed a machine-learning WhatsApp chatbot for an enterprise client to automate customer interactions and reduce manual support workload.

Full Stack Mobile Development Machine Learning Technical Architecture

Full Stack Developer

Ubiai

Jul 2020 - Nov 2020 (4 months)

Built a ML data labeling platform using Python, Django, and Angular (TypeScript), hosted on AWS EC2 and Elastic Beanstalk. Optimized backend labeling pipelines to reduce data annotation time for end-users by 30%.

Python Django Angular TypeScript AWS EC2 AWS Elastic Beanstalk Data Pipelines Backend

Full Stack Developer

Go-Makkah

Jul 2019 - Mar 2020 (8 months)

Developed an intelligent travel recommendation engine using Django and machine learning models. Built an international chess tournament platform in PHP that scaled to 5,000+ active participants.

Django Machine Learning Recommendation Systems PHP Tournament Platform Development