7 дней назад
Software Engineer (Backend, AI)
72 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (Backend, AI) (Go/Elixir/Ruby): Building distributed, data-oriented web applications and AI/LLM-powered services with an accent on reliability, scalability, production ownership, and agentic development. Focus on designing AI-driven system components, integrating model APIs, improving host-level detection, and operating self-service continuous delivery pipelines.
Location: Fully on-site in Madrid, Spain
Salary: Up to €72,000 per year
Company
A mobility technology company connecting riders and drivers across multiple countries and cities while developing more sustainable urban transportation.
What you will do
- Collaborate with principal engineers on development planning and architecture design, including the integration of AI-driven components.
- Design, build, and maintain distributed, clean, testable, data-oriented applications and AI/LLM-powered services.
- Use AI coding assistants and agentic tools throughout the software development lifecycle.
- Improve service reliability, scalability, performance, monitoring, and host-level problem detection.
- Own code through production using self-service continuous delivery pipelines and production infrastructure.
- Mentor junior developers and collaborate with Data Science on data-related initiatives.
Requirements
- Solid knowledge of algorithms, data structures, and common design and architectural patterns.
- Experience developing medium- or large-scale web applications and distributed systems in production.
- Comfort working with AI coding assistants and agentic workflows, while owning engineering decisions, validation, quality, and production outcomes.
- Ability to work independently, collaborate effectively, and make strong product and business decisions.
- Adaptability and willingness to learn Go, Elixir, Ruby, AI-native tools, and other technologies as needed.
- Availability to work fully on-site from the Madrid office.
Nice to have
- Experience with agentic or RAG-based systems.
- Experience working with LLM and AI model APIs.
Culture & Benefits
- Flexible working hours within a fully on-site work environment.
- Regular team events and a strong engineering culture focused on peer reviews, monitoring, on-call practices, and responsible AI use.
- Personal development programs, Coursera access, and free access to O'Reilly.
- Free psychological support through iFeel.
- Flexible compensation plan covering restaurant, transport, healthcare, and childcare benefits.
- Staff rides, pet room, free coffee, and fruit.
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