ph3About The Role /h3pWe’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. /ph3Role Overview /h3pYou 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. /ph3Responsibilities /h3ulliOptimize and support solutions within strategic accounts on the Stack AI platform. /liliMap requirements and relationships within target enterprise customer offices. /liliPursue opportunities and provide feedback on our go-to-market strategy. /liliContribute directly to the StackAI codebase, translating customer feedback into platform improvements across the Python backend and React/Next.js TypeScript frontend. /liliForecast and close high-value opportunities. /liliWrite proposals, pitch stakeholders, and lead product demos. /liliEvangelize Stack AI at enterprise events. /li /ulh3Requirements /h3ulli3+ years of experience in data science, software development, or generative AI. /liliFluent in Spanish (professional/business level)



/liliExperience with strategic enterprise accounts, preferably Fortune 500. /liliExpertise in AI/ML, RAG pipelines, LLM workflows, and enterprise data analytics. /liliEagerness to build a business in a fast-paced environment. /liliAbility to travel 10-20% of the time. /li /ulh3About StackAI /h3pbStack AI /b 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. /ppOur core value is to make it extremely easy to build arbitrarily complex AI pipelines using a visual interface that allows you to connect different data sources with different AI models. /ppOur customers use Stack AI to build applications such as: /pulliChatbots and Assistants: AI agents that interact with users, answer questions, and complete tasks, using your internal data and APIs. /liliDocument Processing: apps to answer questions, summarize, and extract insights from any document, no matter how long. /liliAnswer Questions on Databases: connect GPT-like models to databases (such as Notion, Airtable, or Postgres) and ask questions about them. /liliContent Creation: generate tags, summaries, and transfer styles or formats between documents and data sources. /li /ulpCompensation Range: €80K - €100K /p /p #J-18808-Ljbffr

📌 Forward Deployed Engineer (Spain) (Madrid)
🏢 StackAI
📍 Madrid