Expert Full-Stack + AI Engineer

We are seeking an expert-level Full-Stack Software Engineer with deep experience in AI/LLM applications to help build and scale modern AI-powered products. The ideal candidate combines strong frontend and backend engineering skills with practical experience integrating, deploying, and optimizing AI systems in production environments. This role requires someone who can independently design, build, test, and deploy features from concept to production while maintaining high standards for code quality, performance, security, and user experience. Responsibilities Design and develop scalable full-stack web applications. Build modern frontend interfaces using React, Next.js, TypeScript, and related technologies. Develop robust backend services, APIs, and database architectures. Integrate and deploy AI/LLM capabilities using modern AI platforms and frameworks. Build AI workflows, agents, RAG systems, and automation pipelines. Optimize application performance, reliability, and security. Design cloud-native architectures and deployment pipelines. Collaborate on product strategy, technical architecture, and feature planning. Write clean, maintainable, and well-documented code. Conduct testing, debugging, and code reviews. Required Skills Full-Stack Engineering React Next.js TypeScript Node.js Python REST APIs GraphQL PostgreSQL MongoDB Redis AI & Machine Learning OpenAI APIs Anthropic APIs LLM integration RAG (Retrieval-Augmented Generation) AI agents Prompt engineering Vector databases LangChain or equivalent frameworks AI workflow automation Cloud & DevOps AWS, GCP, or Azure Docker Kubernetes CI/CD pipelines GitHub Actions Infrastructure as Code Preferred Experience Building production AI applications. Developing AI-powered SaaS products. Experience with n8n, Zapier, or workflow orchestration tools. Experience with authentication, payments, and user management systems. Mobile development experience is a plus. Startup or fast-paced product development experience. Deliverables The selected engineer should be capable of: Taking product requirements and turning them into production-ready features. Building complete frontend and backend systems. Implementing AI functionality that delivers measurable business value. Deploying and maintaining applications in cloud environments. Providing technical recommendations and architectural guidance. What We Value Strong communication skills. Ownership mentality. Attention to detail. Ability to work independently. Problem-solving ability. Product-oriented thinking. Commitment to high-quality engineering practices. Seniority Level Expert / Senior (5+ years preferred) Applicants should provide: Relevant portfolio projects GitHub profile Examples of AI-powered applications built and deployed Brief description of their role in each project This description will attract engineers capable of building products such as AI SaaS platforms, AI agents, workflow automation systems, healthcare AI applications, and modern web products.