Overview
menumiz is a comprehensive restaurant POS system that enhances service speed, improves quality, and simplifies payments for modern dining experiences. By leveraging mobile technology and cutting-edge AI, menumiz streamlines operations with digital menus, self-service ordering, direct kitchen communication, and seamless payment processing, allowing restaurants to operate efficiently and boost profitability effortlessly.
About the Role
This is a full-time role for a Senior Full Stack Engineer specializing in LLM Integration at menumiz. In this position, you will be responsible for developing and maintaining both frontend and backend components of our AI-enhanced restaurant POS system, with the work split approximately 80% frontend and 20% backend tasks.
On the frontend, you will create intuitive and responsive user interfaces using TypeScript with modern frameworks, building sophisticated AI-powered features and conversational interfaces. On the backend, you will develop robust and scalable services using .NET Core , with a particular focus on integrating Large Language Models (LLMs) for intelligent automation, natural language processing, and AI-driven restaurant operations. You will architect seamless integrations with AI services like OpenAI, Azure OpenAI, or similar platforms to enhance menu recommendations, order processing, and customer interactions.
Additionally, you will architect and manage our cloud infrastructure on Azure , including networking and security configurations optimized for AI workloads. Collaboration with designers, other developers, and stakeholders is essential to deliver high-quality, AI-enhanced software that revolutionizes the dining experience.
Qualifications
Core Requirements :
- Proven experience as a Full Stack Developer or similar role, with a strong portfolio of projects
- Expert-level TypeScript skills - this is non-negotiable
- Hands-on experience with LLM integration (OpenAI API, Azure OpenAI, Anthropic, etc.)
Frontend expertise
Experience with modern frontend frameworks (React, Vue, Angular, SolidJS, or similar)Ability to build conversational UI components and AI-powered interfacesUnderstanding of UI / UX design principles for AI-enhanced user experiencesExperience with real-time communication (WebSockets, SignalR) for AI interactionsBackend proficiency
.NET Core for developing RESTful APIs, handling authentication, and building scalable AI-integrated servicesLLM Integration experience including prompt engineering, API integration, and managing AI model responsesExperience with vector databases and semantic search implementationsKnowledge of AI safety practices, token management, and cost optimizationDatabase management experience (SQL Server, Azure Cosmos DB), including schema design and optimizationExperience with message queuing and async processing for AI workloadsAI & LLM Specific Skills
Practical experience integrating LLMs into production applicationsKnowledge of AI model limitations, hallucination mitigation, and response validationExperience with embeddings, vector search, and RAG (Retrieval-Augmented Generation) patternsFamiliarity with AI model fine-tuning or custom training (preferred but not required)Cloud and architecture skills
Strong knowledge of Azure , including AI services (Azure OpenAI, Cognitive Services)Experience deploying and scaling AI-powered applications in cloud environmentsUnderstanding of Azure networking , security, and compliance for AI applicationsFamiliarity with DevOps practices, CI / CD pipelines, containerization, and infrastructure as codeKnowledge of monitoring and observability for AI-integrated systemsExcellent problem-solving skills with experience debugging AI integration issuesAbility to work in a fast-paced, dynamic environment with emerging AI technologiesStrong communication skills for explaining AI concepts to non-technical stakeholdersEducation : A degree in computer science, software engineering, AI / ML, or a related fieldAdditional Information
Note : This description reflects the role as posted and does not include external job postings or unrelated listings.
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