03.09.2026 aktualisiert
100 % verfügbar
Senior AI & Full Stack Engineer
Osaka, Japan
Weltweit
Bachelor of Science in Computer ScienceÜber mich
Senior AI & Full Stack Engineer with 8+ years of experience building scalable SaaS platforms, production-grade LLM applications, AI agents, and cloud-native systems. Experienced in designing end-to-end AI products using RAG, LangChain, OpenAI APIs, FastAPI, React, Kubernetes, and AWS.
Skills
Tailwind CSSDevOpsDjangoPythonLaravelPostgreSQLNode.jsNext.jsWordPressReact.jsFastAPIReact NativeReact Redux
AI & Machine Learning
Expertise in building production-grade LLM applications and AI agents using GPT-4/5, Claude, Llama, Mistral, LangChain, LangGraph, RAG pipelines, OpenAI API, Vector Databases, Prompt Engineering, and Fine-tuning techniques such as LoRA and PEFT.
Full Stack Development
Proficiency in frontend technologies including React, Next.js, TypeScript, Tailwind CSS, Redux, and React Query, as well as backend development with Python, FastAPI, Django, Node.js, Express, Go, GraphQL, and REST APIs.
Cloud & DevOps
Hands-on experience with cloud infrastructure and DevOps tools including AWS, Docker, Kubernetes, Terraform, GitHub Actions, Nginx, Linux, and CI/CD pipelines.
Database Management
Knowledge of relational and NoSQL databases including PostgreSQL, MongoDB, MySQL, Redis, Pinecone, Weaviate, and Elasticsearch.
RAG Pipeline Development
Design and implementation of Retrieval-Augmented Generation pipelines to improve response accuracy and reduce hallucinations in enterprise knowledge systems.
Microservices Architecture
Development of microservices-based platforms using React, Node.js, GraphQL, and PostgreSQL, supporting high-volume production traffic.
Automated Testing
Development of automated testing pipelines using Jest and Cypress to significantly increase code coverage and reduce production bugs.
Privacy-Preserving Machine Learning
Implementation of privacy-preserving machine learning techniques for healthcare applications, ensuring data security and compliance.
Expertise in building production-grade LLM applications and AI agents using GPT-4/5, Claude, Llama, Mistral, LangChain, LangGraph, RAG pipelines, OpenAI API, Vector Databases, Prompt Engineering, and Fine-tuning techniques such as LoRA and PEFT.
Full Stack Development
Proficiency in frontend technologies including React, Next.js, TypeScript, Tailwind CSS, Redux, and React Query, as well as backend development with Python, FastAPI, Django, Node.js, Express, Go, GraphQL, and REST APIs.
Cloud & DevOps
Hands-on experience with cloud infrastructure and DevOps tools including AWS, Docker, Kubernetes, Terraform, GitHub Actions, Nginx, Linux, and CI/CD pipelines.
Database Management
Knowledge of relational and NoSQL databases including PostgreSQL, MongoDB, MySQL, Redis, Pinecone, Weaviate, and Elasticsearch.
RAG Pipeline Development
Design and implementation of Retrieval-Augmented Generation pipelines to improve response accuracy and reduce hallucinations in enterprise knowledge systems.
Microservices Architecture
Development of microservices-based platforms using React, Node.js, GraphQL, and PostgreSQL, supporting high-volume production traffic.
Automated Testing
Development of automated testing pipelines using Jest and Cypress to significantly increase code coverage and reduce production bugs.
Privacy-Preserving Machine Learning
Implementation of privacy-preserving machine learning techniques for healthcare applications, ensuring data security and compliance.
Erfahrung
Berufserfahrung0 - 5 Jahre
Freelancer seit2026
Sprachen
Englishverhandlungssicher
Projekthistorie
Designed and deployed production AI applications using FastAPI, LangChain, OpenAI APIs, and vector databases. Built RAG pipelines to improve response accuracy and reduce hallucinations. Developed AI agents to automate multi-step business workflows. Optimized cloud infrastructure and inference services, reducing API latency by 40%. Led a team of eight engineers delivering scalable AI services.
Built machine learning pipelines for real-time sentiment analysis with high prediction accuracy. Implemented privacy-preserving machine learning techniques for healthcare applications. Integrated AI-powered features into the company's SaaS platform. Developed backend services using Python, FastAPI, PostgreSQL, and Docker for scalable AI deployment.
Developed a microservices-based e-commerce platform using React, Node.js, GraphQL, and PostgreSQL. Reduced page load time by 30% through frontend optimization and API performance improvements. Designed GraphQL APIs supporting high-volume production traffic. Implemented CI/CD pipelines using GitHub Actions and Docker, reducing deployment time from 3 hours to 25 minutes.