Forward Deployed Engineer (FDE)

Wave Group; Barcelona; Hybrid; EUR 77,000 - 104,000; Full time

Benefits offered by this job

Generous equity

Bonus up to 35%

Hybrid work (Madrid/Barcelona)

Job summary

Wave Group in Spain seeks a Forward Deployed Engineer to bridge enterprise clients with our AI platform. You will configure and extend AI systems to match client workflows, delivering real production outcomes beyond the initial go-live.

The role is hands-on—about 70% building and deploying and 30% client-facing—with strong English and multiple language requirements for various markets. Equity is generous and there is a hybrid work setup in Madrid or Barcelona.

Qualifications

• 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.
• Experience with AI Voice Agents / Conversational AI.
• Additional fluency in French or Portuguese.
• FDE/Solution engineering experience specifically on agentic AI / LLM-based products, not just traditional SaaS.

Responsibilities

• Serve as the technical bridge between the company and enterprise customers in your market.
• Configure and extend the AI systems to fit customer workflows.
• Stay accountable for real production outcomes, not just a go-live.
• Heavily hands-on role: ~70% building and deploying, ~30% client-facing.
• Turn field learnings into reusable modules and playbooks to speed up future deployments.

Skills

English fluency

Spanish

Italian

German

French

Portuguese

Python

FastAPI

LLMs & Agentic AI

Field engineering

Customer-facing

Deployment

Job description

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

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
• Experience with AI Voice Agents / Conversational AI
• Additional fluency in French or Portuguese
• FDE/Solution engineering experience specifically on agentic AI / LLM-based products, not just traditional SaaS