?
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 (preferred) or Barcelona (1-2 office days)

?
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,

📌 Forward Deployed Engineer (Madrid)
🏢 Wave Group
📍 Madrid