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Remote, mid-level generalist fullstack title plus broad AI skill requirements increase candidate competition.
AI-heavy fullstack skills are transferable but the LLM/vector-db specialization makes background moderately sensitive.
Explicit 3+ years and mandatory LLM/stack expertise create strict screening filters.
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Design, build, and deploy end-to-end AI features and scalable APIs integrating large language models within hospitality technology products.
Own the full implementation lifecycle from data pipelines, backend AI service integration, to responsive user interfaces across polyglot stacks (.NET, Node.js, Python).
Drive AI adoption and best practices establishment in enterprise AI development for hospitality tech, operating independently with project ownership from concept to deployment and support.
3+ years of software development experience with production systems.
1+ years of hands-on experience implementing AI-powered features or integrating LLMs in production applications.
Bachelor's degree in Computer Science, Software Engineering, or related technical field (or equivalent practical experience).
Strong knowledge in at least 2 of: Python, JavaScript/TypeScript, C#/.NET; experience with modern frontend frameworks (React, Vue.js, Angular); backend API design and microservices; and practical AI/ML tools like OpenAI APIs, vector databases (Pinecone, Weaviate, pgvector).
Experienced full-stack engineer able to handle AI integration within complex hospitality SaaS platforms, skilled across multiple technology stacks and cloud services (AWS, Azure, GCP).
Practitioner familiar with state-of-the-art LLM orchestration frameworks (LangChain, LlamaIndex), prompt engineering, and RAG architectures to deliver business-aligned AI solutions.
Independent operator with ability to manage complex AI projects end-to-end, establish best practices, and mentor peers in enterprise AI feature development.