About The RoleWe’re seeking an experienced engineer to deploy enterprise-grade AI solutions, focusing on Retrieval-Augmented Generation (RAG) pipelines and large language model (LLM) workflows. This role is vital to expanding our reach with Fortune 500 and enterprise clients across various industries, as well as with clients headquartered in or operating in Spanish-speaking nations.

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Role OverviewYou will integrate large language models into enterprise operations, working with strategic accounts to align solutions and technical approaches. Using the Stack AI platform, you'll also partner with clients to co-design solutions for emerging needs.
Responsibilities
- Optimize and support solutions within strategic accounts on the Stack AI platform.
- Map requirements and relationships within target enterprise customer offices.
- Pursue opportunities and provide feedback on our go-to-market strategy.
- Contribute directly to the StackAI codebase,



translating customer feedback into platform improvements across the Python backend and React/Next.js TypeScript frontend.
- Forecast and close high-value opportunities.
- Write proposals, pitch stakeholders, and lead product demos.
- Evangelize Stack AI at enterprise events.

Requirements
- 3+ years of experience in data science, software development, or generative AI.
- Fluent in Spanish (professional/business level)
- Experience with strategic enterprise accounts, preferably Fortune 500.
- Expertise in AI/ML, RAG pipelines, LLM workflows, and enterprise data analytics.
- Eagerness to build a business in a fast-paced environment.
- Ability to travel 10-20% of the time.

About StackAIStack AI is a no-code drag-and-drop tool to quickly design, test, and deploy AI workflows that leverage Large Language Models (LLMs), such as ChatGPT, to automate any business process.
Our core value is to make it extremely easy to build arbitrari

📌 Forward Deployed Engineer (Madrid)
🏢 StackAI
📍 Madrid