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Forward Deployed Engineer (Spain)

StackAI stack-ai.com Open · verified Oct 24, 2026
Remote Salamanca Full-time Mid-level Software Engineering

At a glance

Mid-level Software Engineering role at StackAI. Remote, Spain · full-time · €80,000–€100,000 base.

SalaryStated by StackAI
€80,000 – €100,000
Base salary for this role, in EUR per year, as published in the posting.
RoleSoftware Engineering
SeniorityMid-level
LocationSalamanca
WorkplaceRemote
EmploymentFull-time
Base pay€80,000–€100,000
PostedJun 16, 2026 · 4mo ago
Role brief

techroles summary, based on the employer's posting.

What you'll do

  • Tune and support customer solutions built on Stack AI for strategic enterprise accounts
  • Trace decision-makers and requirements across target customer offices to shape account plans
  • Turn customer needs into changes across the Python backend and React/Next.js TypeScript frontend
  • Build enterprise opportunities by forecasting deals, preparing proposals, pitching stakeholders and running demos
  • Share product and go-to-market feedback, and represent Stack AI at enterprise events

What you bring

  • At least three years in data science, software development or generative AI
  • Professional fluency in Spanish for business conversations
  • Hands-on expertise with AI/ML, RAG pipelines, LLM workflows and enterprise data analytics
  • Experience serving strategic enterprise accounts, ideally including Fortune 500 customers

Who this fits

This role suits an engineer who wants to work directly with enterprise customers while contributing code and supporting commercial opportunities. You’ll need to travel for ten to twenty percent of the role.

From the employer

About the role

We’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.

Role Overview:

You 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 StackAI

Stack 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 arbitrarily complex AI pipelines using a visual interface that allows you to connect different data sources with different AI models.

Our customers use Stack AI to build applications such as:

  • Chatbots and Assistants: AI agents that interact with users, answer questions, and complete tasks, using your internal data and APIs.

  • Document Processing: apps to answer questions, summarize, and extract insights from any document, no matter how long.

  • Answer Questions on Databases: connect GPT-like models to databases (such as Notion, Airtable, or Postgres) and ask questions about them.

  • Content Creation: generate tags, summaries, and transfer styles or formats between documents and data sources.

Opportunity

Software Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Software EngineeringRemote€80k+

Find me work

By the team behind techroles.

Find me work
Opportunity

Software Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind techroles.