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# Software Engineers (Backend)

- **Company:** Cabify
- **Location:** Madrid, Spain
- **Salary:** €72,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Architectural Patterns, Software Quality, Continuous Delivery, Distributed Systems, DataOps, Software Engineering, Web Applications, Large Language Models
- **Published:** September 29, 2026
- **Apply:** https://startup.jobs/software-engineer-backend-ai-cabify-10199200

## About the Role

* 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

## Description

* 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


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