Enterprise AI Field Engineer — Equity + Bonus, Milan

Wave Group; Lombardia; Hybrid; EUR 81,000 - 99,000; Full time

Benefits offered by this job

Equity

Bonus up to 35%

Job summary

Wave Group is seeking a Forward Deployed Engineer (FDE) based in Milan, with fluency in English and Italian, to tailor and deploy AI systems for enterprise clients. The role balances hands-on development with customer engagement to deliver measurable production outcomes.

The position is hands-on (~70% coding/deployment, ~30% client interaction) in a fast-paced startup environment, emphasizing performance, security, and multi-agent AI reliability across languages.

Qualifications

• Professional fluency in English and Italian.
• 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, comfortable operating with ambiguity.
• Experience with AI Voice Agents / Conversational AI.
• Additional fluency in Spanish, German, French or Portuguese.
• FDE/Solution engineering experience specifically on agentic AI / LLM-based products.

Responsibilities

• Serve as technical bridge between the company and enterprise customers in your market.
• Configure and extend the AI systems to fit customer workflows.
• Build and deploy AI solutions in production.
• Turn field learnings into reusable modules and playbooks to speed future deployments.

Skills

English

Italian

Customer-facing

LLMs

Agentic AI

Debugging

Startup mindset

Voice agents

Spanish

German

French

Portuguese

FDE/Solution engineering

Tools

Python

FastAPI

Job description

Wave Group is seeking a Forward Deployed Engineer (FDE) based in Milan, with fluency in English and Italian, to tailor and deploy AI systems for enterprise clients. The role balances hands-on development with customer engagement to deliver measurable production outcomes.

The position is hands-on (~70% coding/deployment, ~30% client interaction) in a fast-paced startup environment, emphasizing performance, security, and multi-agent AI reliability across languages.