Forward Deployed Engineer (FDE)

Wave Group

Lombardia

Hybrid

EUR 60,000 - 90,000

Full time

5 days ago
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Job summary

Wave Group is seeking a Forward Deployed Engineer in Milan to serve as the technical bridge between our enterprise clients and an AI-native platform. You will tailor AI workflows, configure agents, and ensure production deployments that work across languages and domains.

This hands-on role is ~70% building and deploying with 30% client-facing work, turning field learnings into reusable modules and playbooks for faster, scalable deployments.

Qualifications

  • English and Italian proficiency required.
  • Direct customer-facing experience (FDE, field engineering, consulting or solutions roles).
  • Strong foundation in Python and FastAPI.
  • Experience with LLMs and 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.

Responsibilities

  • Be the technical bridge between Wave Group and enterprise customers in your market, understanding workflows and tailoring AI systems.
  • Configure and extend AI systems to fit customer needs and ensure production readiness.
  • Hands-on role: building and deploying ~70% of time, client-facing ~30%.
  • Translate field learnings into reusable modules and playbooks to speed up future deployments.

Skills

English
Italian
Direct customer-facing experience
Python
FastAPI
LLMs & Agentic AI
Debugging
Startup mindset

Tools

React
CI/CD
AWS
GCP
Azure

Job description

Job Title

Forward Deployed Engineer (FDE)


Salary

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


Bonus

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


Early-stage equity

very generous early-stage equity


Location

Milan (ideally 1-2 office days/week but flexible)


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


  • English and Italian

  • 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 Spanish, German, French or Portuguese

  • FDE/Solution engineering experience specifically on agentic AI / LLM-based products, not just traditional SaaS

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