About Langham Hospitality Group
A wholly‑owned subsidiary of Great Eagle Holdings, Langham Hospitality Group (LHG) comprises a family of distinctive brands, including The Langham Hotels and Resorts, Cordis Hotels and Resorts, Eaton Workshop and Ying’nFlo. With over 40 hotels and residences in operation or development, LHG has a global footprint that extends across Asia, Europe, North America, Australasia and the Middle East.
Application Engineer – AI Solutions
We are looking for a talented Application Engineer to build the AI solutions that will transform how we engage with guests. In this one‑year contract role, you will be responsible for coding, testing, and deployment of AI features, such as chatbots for room booking and personalized recommendation engines. You will work side‑by‑side with our internal LHG AI Cadre, helping them apply their newly learned skills to real‑world problems.
Key Responsibilities
- Development: Build, test, and deploy AI‑powered applications based on the Solution Architect's designs, including developing APIs, integrating with third‑party LLMs, and connecting to existing LHG systems (PMS, CRM, Website).
- Implementation of Use Cases: Focus on the practical implementation of the S&M ideas, such as creating a proof‑of‑concept for a voice‑enabled booking assistant or a tool that drafts personalized guest emails.
- Integration: Connect AI models to data sources, ensuring efficient data retrieval and secure handling of guest information.
- Cadre Collaboration: Work embedded within the LHG AI Cadre, pair‑programming, and guiding team members through the technical challenges of building their first AI agents.
- Documentation: Document the code, architectures, and processes to ensure knowledge is retained within LHG after the contract ends.
Skills & Experience Required
- Experience: 4+ years of software development, with at least 1–2 years of hands‑on experience building applications that leverage AI/ML APIs (especially LLMs).
- Technical Stack: Strong proficiency in Python or TypeScript/JavaScript; experience with API frameworks (FastAPI, Flask) and front‑end integration.
- AI Tools: Practical experience with prompt engineering, LangChain, and calling APIs from services like OpenAI, Anthropic, or cloud providers.
- Data Handling: Experience working with databases (SQL and NoSQL) and basic data processing.
- Mindset: Product‑oriented builder mentality, eagerness to learn and experiment, and passion for teaching others.