Leads development of AI-powered full-stack applications, oversees engineers, and integrates LLMs/RAG for enterprise workflows. Requires 8+ years experience with React, TypeScript, Node.js, Python, and cloud infrastructure.
Salary not listed
Remote8+ YOEEngineering Management
About the role
Responsibilities
Design and build full-stack applications that power AI-driven workflows for enterprise users.
Oversee and review the work of other engineers, ensuring high-quality, production-ready code.
Provide technical guidance, architectural direction, and hands-on support where needed.
Develop high-performance front-end interfaces for AI agent control, monitoring, and visualisation.
Build scalable backend services that support real-time AI interactions, knowledge retrieval, and automation.
Work closely with AI researchers and ML engineers to integrate LLMs, RAG, and automation into production-ready systems.
Establish engineering best practices across testing, deployment, and performance optimisation.
Continuously iterate and refine AI-driven products, balancing speed with robustness.
Requirements
8+ years of hands-on experience building full-stack production applications.
Prior experience leading or mentoring engineers.
Proficiency in React, TypeScript, and Node.js.
Backend experience using Python.
Strong knowledge of cloud infrastructure (AWS, GCP, or Azure) and scalable architectures.
Understanding of AI-powered applications (LLMs, chat interfaces, agentic workflows).
Ability to work in a fast-paced, high-autonomy environment.
Strong collaboration skills across engineering, product, and AI teams.
Bonus Points
Experience building AI-powered applications with LLM integrations.
Worked in high-performance startups or enterprise AI environments.
Sharp eye for UI/UX design and built intuitive, AI-driven interfaces.
Experience with GraphQL, WebSockets, or real-time data streaming.
Contributed to open-source projects or built developer tools for AI.
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