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.

We're Alkimii , a fast-growing SaaS company building technology that helps hospitality businesses manage their people and property operations more effectively.
AI and machine learning are creating entirely new ways for hospitality teams to interact with software and their data. You'll work at the intersection of Software Engineering, Data and AI , taking ideas from experimentation all the way through to production.
Build and ship AI-powered product features using Ruby, Python and SQL
Design the context engineering that gives LLMs the right customer, product and operational information at the right time
Experiment with agents and agentic workflows that can safely interact with Alkimii data and functionality
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
Use Alkimii's operational data to identify patterns and opportunities for new intelligent features
Design evaluations to measure the quality and reliability of AI features
Prototype quickly, test ideas with real customers and iterate
Collaborate closely with Product, Engineering and Customer Success




Strong software-engineering fundamentals
Experience with Ruby and production web applications
Strong Python and SQL skills
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
Strong product instincts and commercial awareness
The ability to take an ambiguous problem and turn it into something customers can use

You don't need to be a research scientist or spend your days training models from scratch.
We're looking for someone who is comfortable moving across software engineering, LLMs, data and predictive modelling — and choosing the right approach for the problem rather than reaching for the same technology every time.
Someone who sees a new model, framework, dataset or technique and immediately starts wondering:

Vector databases and embeddings
MCP servers and modern AI tooling
Multi-tenant SaaS applications where permissions and data isolation matter
If you're a strong software engineer with great product instincts and a genuine curiosity for AI and data, we'd still love to hear from you.

Turned data into more proactive and intelligent product experiences
Improved how our applications consume and use data
Full time competitive salary
Innovative technology (Ruby, GrahpQL...) Versátil working week, because we take seriously the productivity and wellbeing of our team
Opportunity to work on new projects every 6 - 9 months. In house English / Spanish lessons!
Work remotely - from Spain only - or in a beautiful building in the historic city centre of Málaga with a lively social life. Alameda Principal is close to the port, the Cathedral and many local amenities.

📌 Ingeniero/a - Proyectista (León)
🏢 Alkimii
📍 León