Joppy

AI engineer for intelligent automation

In short

AI Engineer role designing, building, and deploying production AI automation systems, including backend/frontend integration, AI observability, and customer-facing solution validation. The company is a fast-growing product-market-fit startup hiring through Joppy, based in Barcelona with a hybrid work setup (2 days office, 3 days WFH). Requires 2+ years building production-ready AI systems, familiarity with modern AI dev tools like Claude Code or Cursor, and fluency in Spanish with working English.

About the role
One of the companies we partner with at Joppy is looking to hire an AI Engineer passionate about designing, building, and deploying intelligent automation systems to solve complex real-world challenges.
Responsibilities
•Architect and deliver AI solutions, balancing latency, cost, and accuracy
•Focus on efficiency, continuously seeking optimization opportunities in code and systems
•Own AI observability end-to-end: monitor traces, design evaluation frameworks, and rapidly improve deployed models
•Develop backend and frontend code to integrate AI capabilities into products
•Lead your own project management and roll out initiatives to customers
•Engage with customers to validate new solutions and gather feedback
Requirements
•2+ years of hands-on experience building production-ready AI systems
•Strong understanding of emerging AI models, research, and real-world usage
•Experience with modern AI-powered development tools (such as Claude Code, Cursor, Codex, or similar)
•Demonstrated ability to design, debug, and improve end-to-end systems with a product-focused mindset
•Fluent in Spanish and comfortable working in English
Nice to have
•Experience with AI observability platforms (e.g., Langfuse: tracing, metrics, evaluations for LLM applications/agents)
•Expertise in designing and running evaluations
•Familiarity with multimodal LLMs, especially vision models for OCR document understanding
•Experience building and orchestrating multi-agent systems
•Knowledge of RAG systems and vector databases
•Experience designing or working with MCPs
Conditions
•Exciting work in a fast-growing environment with a strong product-market fit and collaborative culture
•Competitive salary (40–55k), with potential for growth
•Access to a modern, well-equipped office
•Hybrid workplace: at least 2 days in the office per week, plus 3 days WFH
•All the AI tools you want for experimentation and development
•Subsidized Urban Sports Club membership for wellness activities
•Additional salary benefits

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