. React Python REST SaaS DevOps Office

💻 Job Title: Forward Deployed Engineer (FDE) x3 💰 Salary: ideally up to €90k (flex for strong candidates) + up to 35% bonus (~20% standard, rest based on performance) 📈 + generous early-stage equity 📍 Location: Madrid or Barcelona (1-2 office...

💻 Job Title: Forward Deployed Engineer (FDE) x3

💰 Salary: ideally up to €90k (flex for strong candidates)

+ up to 35% bonus (~20% standard, rest based on performance)

📈 + generous early-stage equity

📍 Location: Madrid or Barcelona (1-2 office days/week)

🚀 Company: autonomous AI agents for enterprise clients

👥 Team: ~30

💸 Funding: ~$25m (Series A)


About the company

This rapidly scaling start-up is building an AI-native platform that lets enterprise clients run high-volume operations through autonomous, conversational agents — voice, chat and messaging, deployed across dozens of countries in over 60 languages, for some of the largest employers in the world.


The company's core technical challenge is multi-agent orchestration that stays rock-solid at scale — reliable, secure and observable whether it's deployed for a healthcare provider in the US or a retailer in Latin America.


Founded by an experienced team with two prior successful exits, backed by a top-tier European VC, and already trusted by household-name enterprise customers.


About the role

You'll be the technical bridge between the company and enterprise customers in your market — understanding their workflows, configuring and extending the AI systems to fit, and staying accountable for real production outcomes, not just a go-live.


This is a heavily hands-on role: most of your time is spent building and deploying (~70%), with the client-facing side being ~30%. You'll turn what you learn in the field into reusable modules and playbooks that speed up every deployment after yours.


✅ Must have requirements:

  • Professional fluency in English (plus Spanish, Italian and/or German)
  • Direct customer-facing experience (FDE, field engineering, consulting or solutions roles)
  • Strong foundation in Python, FastAPI
  • Experience with LLMs & Agentic AI in production
  • Comfortable moving between high-level problem definition and hands-on debugging
  • Startup pace and mentality - high energy, ownership, proactiveness, hunger to innovate and succeed, comfortable operating with ambiguity


👍 Bonus points for:

  • Full-cycle ownership: discovery → architecture → build → deploy → iterate on real production systems
  • Experience with AI Voice Agents / Conversational AI
  • Full-Stack & DevOps experience: React preferred; CI/CD; AWS/GCP/Azure
  • Additional fluency in French or Portuguese
  • FDE/Solution engineering experience specifically on agentic AI / LLM-based products, not just traditional SaaS

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