About the Role
Hybrid from Madrid or Valencia
You will engineer the core of our proprietary internal platform that democratizes AI across the company. This is not a standard full-stack role maintaining existing systems, you will build the factory that enables other teams to create autonomous AI Agents. You will design Chain of Thought reasoning flows, integration layers, and agent logic that allow AI to execute complex business tasks at scale. This is applied AI engineering: no model fine-tuning, just sophisticated system design and relentless execution. You will join a new focused team of two engineers, collaborating daily with the AIGO team and cross-functional partners across Global Operations, Customer Satisfaction, and Engineering.
Key Responsibilities
Develop and expand our internal AI platform, enabling internal teams to build autonomous AI Agents without deep ML expertise
Engineer Chain of Thought reasoning flows and integration layers that power agent logic
Build reliable, long-running AI Agent systems that handle failures at scale and prevent cascading outages when external LLM providers go down
Design node-based tools for intent retrieval, context management, and API routing
Program agent logic using TypeScript,, Express, React,, and SQL
Maintain a high bar for software quality and reliability while innovating at speed
Integrate AI-native tooling (Cursor, Claude Code) into your development workflow without sacrificing code quality
Key Requirements
Deep expertise in TypeScript,, Express, React,, and SQL
Practical knowledge of Docker, Kubernetes, and Linux environments
Hands-on experience with Chain of Thought (CoT), Agent building, and RAG concepts
An AI-First mindset: you already use Cursor or Claude Code and possess the engineering rigor to validate AI-generated code
Proven track record of shipping software to production
Nice to Have
Proficiency with Cursor or Claude Code
Advanced knowledge of ML theory (helpful for context, though fine-tuning is not part of the role)
What Success Looks Like
First 30 days: Set up your development environment, adopt AI-first workflows, gain a functional understanding of our internal AI platform, ship a bug fix to production, and build your first AI Agent using our platform.
First 60 days: Deep dive into a key product area's architecture, design and implement a small-scale AI feature, and demonstrate independence in troubleshooting and shipping without hand-holding.
First 90 days: Take ownership of a significant AI feature from concept to production, contribute to internal documentation on Agent best practices, and actively participate in architectural reviews as a fully integrated team member.
One year: Transform a portion of our AI platform with a major AI-driven application feature, become recognized as a stakeholder in building and optimizing AI Agents across Groupon, and maintain a high bar for software quality while innovating at speed.
We Are Interested In
A true builder who wants to engineer the platform that powers AI Agents, not just write prompts. You bring a balance of "Old School" engineering discipline (reliability, structure) and "New Wave" AI agility. You are excited to use the latest AI-native stack to create sophisticated internal tools that drive global operations and shape how a global company operationalizes AI.