Software Engineer - Backend + AI

Posted 4 Hours Ago
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Madrid, Comunidad de Madrid, ESP
In-Office
72K-72K Annually
Entry level
Software
The Role
Build and maintain distributed backend applications using Go, Elixir, Ruby, or other languages. Design architectures, integrate AI and LLM services, improve reliability and performance, use agentic coding tools, manage production deployments, troubleshoot infrastructure, and contribute to monitoring, on-call practices, peer reviews, and engineering culture. Collaborate with data scientists, mentor junior developers, and make sound technical and product decisions in a fast-paced environment.
Summary Generated by Built In

Do you want to change the world? At Cabify, that's what we're doing. We aim to make cities better places to live by improving mobility for the people living in them, connecting riders to drivers at the touch of a button. Maybe one day cities will be places where nobody needs a private car. But we've still got a long way to go… fancy joining us?

At Cabify, diversity fuels our Product & Engineering teams. We actively recruit talent beyond traditional channels, embracing individuals from diverse backgrounds and supporting initiatives like Women Tech Dating, Contrata Diferente and our Internal Diversity Committee. Our commitment is reflected in inclusive job descriptions, creating an environment where every contribution is cherished. Join Cabify to be part of innovative teams that truly represent the rich tapestry of talent in the tech industry.

Right now, we have more than 20 million users around the world. We work across 6 countries and 40 cities, adapting our product fast to be leaders in all those markets and taking care about sustainability.

The job

We are looking for Software Engineers (Backend) who are ready to embrace Agentic Development as part of how they build software. At Cabify, we use AI tools throughout the development lifecycle, to explore and understand systems, design solutions, implement and test them, and accelerate delivery, while engineers remain accountable for technical decisions, code quality, reliability, and production outcomes.

We're language agnostic - your team will primarily work with Go, Elixir or Ruby, but that doesn't mean your past experience needs to match. We rely on whatever tool fits the problem best, and you'll have the flexibility to draw on other languages and technologies across the stack when it makes sense. We believe that if you've worked in other languages like Java your whole career, you can still pick up Elixir or Go quickly, what matters most is being adaptable, curious, and quick to learn new tools, including AI-native ones.

Check our Public Tech Handbook >https://cabify.tech/handbook/< to know a bit more about us!

At Technology you will
  • Collaborate with principal engineers on development planning and architecture design, including where AI-driven components fit into our systems
  • Design, build and maintain distributed, clean, testable, data-oriented applications, increasingly incorporating AI/LLM-powered services and features
  • Use AI coding assistants and agentic tools as part of your daily workflow to move faster without compromising code quality
  • Improve service reliability, scalability and performance,  including systems that integrate with LLM and AI model APIs.
  • Own your code all the way to production with a self-service continuous delivery pipeline and production infrastructure
  • Dive deep into host-level problem-solving and help improve detection methods
  • Play a vital role in nurturing our engineering culture, emphasizing quality through peer reviews, monitoring, on-call best practices, and responsible use of AI tooling
  • Mentor junior developers, including how to effectively pair with AI tools
  • Collaborate closely with the Data Science team on data
Our ideal candidate has
  • Great alignment with our principles (check out the handbook)
  • Solid knowledge of common algorithms & data structures
  • Experience developing medium/large-scale web applications and distributed systems in production
  • Experience with common design and architectural patterns
  • Comfortable with working with AI coding assistants and agentic workflows (e.g. Copilot, Claude Code, MCP-based integrations) as part of your daily process, with a strong ability to own the engineering decisions, validation, quality and production outcomes - bonus points if you’ve worked with agentic or RAG-based systems
  • Genuine curiosity about how AI is changing software engineering, and interest in experimenting with new tools and workflows
  • Ability to work independently while being a strong team player
  • Ability to understand and help make great product and business decisions
  • Ability to achieve results in a fast-paced, changing environment
What's it like to work at Cabify?

We're a company full of motivated people and we never want that to change. Here are some more reasons why it rocks to be part of our high-performance team.

  • 💶 Excellent Salary conditions: up to 72k
  • 🌍 Our office is located in Madrid (Calle de Pradillo 42, 28002) - this is a fully on-site role, based in our Madrid office
  • ⌚ Flexible work environment & hours
  • 🙌 Regular team events
  • 🚗 Cabify staff free rides
  • 🚀 Personal development programs based on our career paths
  • 📐 Coursera: your own license in Coursera to take as many courses as you wish and continue developing your skills
  • 📐 Free access to O'Reilly - the largest technical leading platform for engineers
  • 🧘‍♀️ iFeel: free access to the iFeel platform, so you can take care of your emotional well-being through therapy sessions
  • 💳 Flexible compensation plan: restaurant tickets, transport tickets, healthcare and childcare
  • 🐱 A pet room, so you don't have to leave your furry friend at home
  • ☕️ And last but not least... free coffee and fruit!

Join us!

Skills Required

  • Alignment with Cabify's principles
  • Knowledge of common algorithms and data structures
  • Experience developing medium- or large-scale web applications in production
  • Experience with distributed systems in production
  • Experience with common design and architectural patterns
  • Comfort working with AI coding assistants and agentic workflows
  • Ability to own engineering decisions, validation, quality, and production outcomes
  • Ability to work independently and as part of a team
  • Ability to understand and contribute to product and business decisions
  • Ability to achieve results in a fast-paced, changing environment
  • Experience with agentic or RAG-based systems
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The Company
HQ: Madrid, Madrid
3,488 Employees
Year Founded: 2011

What We Do

Cabify, company that has been a signatory member of the UN Global Compact since 2018, connects private users and companies with the means of transport that best suit their needs. Its main objective is to make cities a better place to live. For this, it seeks to decongest the streets by providing, through technology, a safe and quality transport option. Founded in 2011, in Madrid, Cabify extended, a few months later, to Latin America and is currently present in Argentina, Brazil, Chile, Colombia, Ecuador, Spain, Mexico, Panama, Peru, Uruguay, Portugal and the Dominican Republic. Cabify adapts to the particularities of the almost 100 cities in which it operates. With an almost entirely Latino team, it stands out for betting on local talent, generating jobs in an industry that is being transformed by technology. Cabify, as part of its commitment to be a socially responsible company and in line with the SDGs, is the first MaaS in Latin America and Europe to offset 100% of the CO2 emissions generated by its operation.

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