Forward Deployed Engineer

vibehackers; Italy; Hybrid; EUR 54,000 - 66,000; Full time

Benefits offered by this job

Annual bonus

Leave 28 days

Remote allowance

Health insurance

Training & development

Death in service

Travel expenses

Job summary

vibehackers, based in Italy, seeks a Senior Forward Deployed Engineer to design, build and deploy agentic AI platforms and LLM-powered solutions for enterprise clients. You will architect LLM orchestration, RAG pipelines, and integrate agentic capabilities with existing systems, while traveling to client sites across Europe.

The role emphasizes hands-on delivery, strong Python and AI framework expertise, and close collaboration with stakeholders to deliver scalable, enterprise-grade deployments

Qualifications

• Senior engineer with impactful enterprise delivery experience.
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Skills

Python

LLM orchestration

Multi-agent systems

RAG pipelines

Kubernetes

Consulting

Client collaboration

Travel readiness

Tools

Kubernetes

Cloud platforms

APIs

Job description

Building agentic AI platforms and LLM orchestration—directly tied to vibe coding and AI dev tooling; heavy focus on LLMs, multi-agent systems, and RAG.

About the Role

Senior Forward Deployed Engineer based in Italy responsible for building, implementing, and deploying agentic AI platforms and LLM-powered solutions for enterprise clients. The role focuses on architecting LLM orchestration, RAG pipelines, and integrating agentic capabilities with enterprise systems while frequently travelling to client sites across Europe.

Job Description

Role

As a Forward Deployed Engineer you will build, implement, and deploy agentic platforms within client environments, enabling organisations to operationalise LLM-powered agents across products, processes, and teams. You will work closely with client stakeholders, technical leaders, and delivery teams to integrate agentic capabilities with existing enterprise systems.

Key Responsibilities

• Design and build scalable AI-driven and agentic solutions for enterprise contexts.
• Architect LLM orchestration and multi-agent systems supporting tool use, workflow orchestration, memory, and decision-making.
• Design and deploy Retrieval-Augmented Generation (RAG) pipelines integrating enterprise data sources.
• Integrate platforms with client systems including APIs, data platforms, cloud services, and enterprise applications.
• Configure Kubernetes and deploy workloads across cloud, on-premise, and hybrid environments.
• Collaborate with technical and non-technical stakeholders and iterate directly with users.
• Plan, execute, and deliver complex client engagements with a consulting focus.

Requirements

• Significant experience delivering at a Senior Engineer level (posting notes Seniors typically have at least 8 years of commercial experience).
• Strong Python experience and familiarity with modern AI frameworks.
• Experience architecting LLM orchestration using frameworks such as LangGraph, CrewAI, AutoGen, or similar.
• Experience implementing multi-agent systems and RAG pipelines.
• Ability to configure Kubernetes and design deployment architectures for cloud, on-premise, and hybrid environments.
• Strong consulting, communication, and client-collaboration skills.
• Willingness to travel frequently to client sites within Europe.

Nice to have

• Hands-on experience with Golang.
• Frontend experience with React.
• Deep understanding of Kubernetes internals.
• Annual company bonus.
• 28 days annual leave plus public holidays.
• Remote working allowance (up to €1250 every 2 years) and essential equipment on joining.
• Training and development support.
• Health insurance under applicable national collective labour agreement (CCNL) — may be via Fondo Est or QuAS.
• Statutory pension and access to a collective complementary pension scheme (CCNL-based) with employer contribution up to 1.55%.
• Death in service cover.
• Travel expenses to client sites covered by the company.

Interview Process

• Talent call (~30 mins via Zoom).
• Technical assessment (1 hour live coding via Zoom focused on Python).
• Possible additional client interview depending on project.

Location & Travel

• Candidates must be based in Italy. Frequent travel to client sites within Europe is required and expenses are covered.
• Salary starts from €60,000 plus bonus and benefits; exact compensation to be discussed during interview.

Skills

System Design LLM Orchestration RAG Pipelines Multi-agent Systems Kubernetes Administration Deployment & Operations Consulting Client Stakeholder Management Technical Leadership Collaboration Problem Solving Communication

Experience Level

Senior

EUR 60,000+/year

Employment Type

{Full-Time}

• Annual Company Bonus
• Work Remotely and Flexibly
• 28 days annual leave plus public holidays
• Remote Working Allowance (up to €1250 every 2 years)
• Essential equipment on joining
• Training and Development
• Collective complementary pension scheme (employer contribution up to 1.55%)
• Death in Service cover
• Travel expenses covered for client visits