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Remote, popular fullstack title, mid-level (5 years) increases applicant density.
Fullstack engineering skills with AI integrations are moderately transferable across industries.
Explicit 5+ years and many mandatory tech requirements increase shortlist rigidity.
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Architect and implement end-to-end scalable web and mobile applications integrating AI technologies such as LLMs, RAG systems, embeddings, and MCP.
Develop and maintain backend services with Node.js and TypeScript, and frontend applications using React.js and Flutter for cross-platform support.
Design and optimize MongoDB databases, implement real-time features using WebSockets, and build CI/CD pipelines with containerization technologies like Docker.
Minimum 5 years of relevant full stack development experience.
Strong proficiency in Node.js, TypeScript, React.js, Flutter, and MongoDB.
Hands-on experience integrating AI/ML technologies including LLMs, RAG systems, and semantic search in production.
Mandatory use of Time Doctor tracking software; Comfortable with task and time tracking.
Experienced in building AI-integrated full stack applications with real-time capabilities in production environments.
Proficient in both frontend (React, Flutter) and backend (Node.js/TypeScript) with a focus on scalable, performant systems.
Familiar with advanced AI tooling such as Model Context Protocol and vector databases, and capable of managing end-to-end delivery including CI/CD and containerization.