Senior AI Product Engineer

Want to build AI features that customers actually use?

Working as part of our Product Engineering team, you’ll combine Ruby, Python, SQL, machine learning and modern AI technologies to turn the data behind Alkimii into intelligent, proactive product features.

We’re looking for an AI-first product engineer — someone who loves experimenting with new technology, working with data, figuring out what works and getting it into customers’ hands quickly.

You might spend one week improving the context and tooling behind Ask Alkimii , the next building an agentic workflow, and another developing a time-series model to forecast staffing requirements or operational demand .

Think intelligent assistants, predictive modelling, recommendations, forecasting and automation. Insights that find the customer rather than waiting for the customer to find them.

A little bit about us

We’re Alkimii , a fast-growing SaaS company building technology that helps hospitality businesses manage their people and property operations more effectively.

We’re curious by nature, we move quickly, and we constantly ask ourselves one question:

How can we make this easier for our customers?

AI and machine learning are creating entirely new ways for hospitality teams to interact with software and their data. We want someone who is excited about exploring those possibilities and, more importantly, turning them into products that actually work .

What will you be doing?

You’ll work at the intersection of Software Engineering, Data and AI , taking ideas from experimentation all the way through to production.

You’ll:

• Build and ship AI-powered product features using Ruby, Python and SQL
• Help build Ask Alkimii , our AI-powered product experience
• Design the context engineering that gives LLMs the right customer, product and operational information at the right time
• Build the retrieval, context and tool-calling capabilities that power Ask Alkimii
• Experiment with agents and agentic workflows that can safely interact with Alkimii data and functionality
• Build APIs and services that bring AI capabilities directly into the Alkimii product
• Work with our Redshift data warehouse, DMS and Airflow pipelines
• Build time-series forecasting and predictive models using historical and real-time operational data
• Use scikit-learn, XGBoost or similar ML frameworks to develop, train and evaluate models
• Engineer features from operational data such as demand, revenue, reservations, staffing and historical performance
• Evaluate model performance, experiment with different approaches and improve predictions as new data becomes available
• Turn model outputs into recommendations, forecasts and proactive actions within the Alkimii product
• Use Alkimii’s operational data to identify patterns and opportunities for new intelligent features
• Integrate LLMs and other AI services into existing product workflows
• Design evaluations to measure the quality and reliability of AI features
• Prototype quickly, test ideas with real customers and iterate
• Build internal AI tools that help our teams work smarter
• Collaborate closely with Product, Engineering and Customer Success
• Experiment, iterate and, most importantly, ship

What are we looking for?

You’ll probably thrive in this role if you have:

• Strong software-engineering fundamentals
• Experience with Ruby and production web applications
• Strong Python and SQL skills
• Hands-on experience building products with LLMs and AI APIs
• Experience with context engineering, RAG, retrieval and tool calling
• Experience building time-series forecasting or predictive models using real-world data
• Hands-on experience with scikit-learn, XGBoost or similar machine-learning frameworks
• A good understanding of feature engineering, model training, validation and evaluation
• Experience taking models, AI prototypes or data products into production
• Experience working with AWS
• A solid understanding of data modelling, warehouses and data pipelines
• An experimental mindset — you're comfortable trying things, measuring them and changing direction quickly
• Strong product instincts and commercial awareness
• The ability to take an ambiguous problem and turn it into something customers can us