Role overview
**Senior Data Engineer**
**Full-time – Remote (United States)**
As a Senior Data Engineer at The Guestbook, you’ll design and scale the data and AI systems that power our platform’s intelligence layer — from rewards personalization to automated insights for hotel partners. You’ll build reliable data pipelines while helping shape the next generation of AI-powered travel experiences using large language models (LLMs) and generative AI.
We’re a small, agile team that values creativity, curiosity, and shipping impactful work fast. You’ll have the opportunity to own your projects end-to-end — from designing data systems to integrating AI-driven solutions into our production environment.
If you’re excited about applying machine learning and generative AI to real-world hospitality and e-commerce challenges, this is the ideal role for you.
**What You’ll Be Doing**
* Design, build, and maintain data pipelines that support analytics, machine learning, and AI-driven product features.
* Collaborate across Product, Marketing, and Engineering to identify opportunities to apply generative AI and predictive models to business problems.
* Develop and deploy LLM-based applications, such as:
* Intelligent data summarization and report generation
* Personalized travel recommendations and deals
* Automated guest communications and support
* Content generation tools
* Fine-tune and evaluate models using internal and open datasets (e.g., OpenAI, Hugging Face, Anthropic, Vertex AI, or similar platforms).
* Build data systems and APIs that make LLM outputs reliable, auditable, and scalable.
* Partner with the team to ensure data governance, privacy, and model performance are maintained at high standards.
* Stay current on emerging tools and frameworks in AI engineering, vector databases, prompt optimization, and model monitoring.
**What You’ll Bring to The Guestbook**
* 3+ years of professional experience as a data engineer, ML engineer, or related software role.
* Degree in Computer Science, Data Science, Artificial Intelligence, or a related field — or equivalent practical experience.
* Strong proficiency in Python, SQL, and modern ETL/ELT frameworks (dbt, Dagster, Airflow, Fivetran).
* Deep understanding of cloud infrastructure (AWS, GCP, or Azure) and data warehousing (BigQuery, Snowflake, or Redshift).
* Demonstrated experience working with machine learning models and LLMs, including fine-tuning, API integration, and prompt design.
* Familiarity with vector databases (Pinecone, Weaviate, FAISS) and embedding-based retrieval techniques.
* Strong communication skills and the ability to translate AI capabilities into business value.
**Nice to Haves**
* Experience building AI-powered applications using frameworks like LangChain, LlamaIndex, or OpenAI’s function-calling APIs.
* Knowledge of retrieval-augmented generation (RAG) systems and semantic search architecture.
* Experience deploying ML and LLM pipelines in production (Vertex AI, AWS SageMaker, or similar).
* Familiarity with front-end frameworks (React, Next.js) for integrating AI features into web products.
* Contributions to open-source AI or data engineering projects.
* Background in hospitality, travel tech, or e-commerce data systems.
**Benefits**
The Guestbook offers a comprehensive benefits package designed to support your well-being and future growth:
* 20 PTO days annually (and we encourage you to use them!)
* Health & Welfare Benefits (Medical/Rx, Dental, Vision)
* Flexible Spending Accounts
* Short- and Long-Term Disability Insurance
* Life & Accident Insurance
* 401(k) Retirement Savings Plan
***Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or assume visa sponsorship at this time.***