XTM International FDE

Forward Deployed AI & Data (FDAID) Engineer

  • Location Athens, Attica, Greece
  • Type Full-time
  • Team Engineering
  • Posted 2026-08-27

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Extracted automatically from public job postings. Always verify details on the original posting before applying.

Hard requirements to check first

  • Clearance:not mentioned in the posting
  • Work auth:not mentioned in the posting

Skills

PythonJavaScriptSQLRAGVector DBPrompt EngineeringAgents

Excerpt from the original posting

At XTM Group , we build technology that helps enterprises connect with global audiences faster and more efficiently. Our Translation Management platform enables organizations to automate and streamline every stage of the localization process.
We believe innovation happens when talented people collaborate, experiment, and continuously learn. That’s why we foster an inclusive, solution-oriented culture where curiosity, teamwork, and ownership are valued every day. Our mission is to become the leading enterprise Translation Management System — and we’re looking for people who want to help shape the future of global communication technology.
The Role
Hybrid Working Requirement: Candidates should be flexible to attend our Marousi, Athens office 3 times per week. Please note that travel or commuting expenses will not be covered for candidates residing outside Attiki or outside a reasonable commuting distance.
We are establishing a unified, secure platform infrastructure at the center while deploying agile, specialized AI & Data engineering resources (Forward Deployed AI & Data Engineers) directly into our highest-leverage business units. The primary mission of this role is to eliminate operational execution bottlenecks, automate core business processes, and dismantle operational data debt.
As a Forward Deployed AI & Data Engineer, you will operate on the frontlines within teams such as GTM (Sales/Marketing/CS) or Delivery (TAM/Implementation/Support) business units. You will act as a high-velocity pipeline builder and workflow architect—combining deep data engineering with applied AI orchestration.
Core Split & Primary Responsibilities
Your focus will be structured around a 60/40 split between core Data Engineering and Applied AI Systems.
1. Data Engineering & Orchestration (60%)
- Wrangle Legacy Data: Dig into multiple databases, writing advanced SQL to model data streams straight into a centralized BigQuery Medallion Architecture (Bronze/Silver/Gold layers).
- API & Workflow Orchestration: Build, maintain, and optimize complex conditional logic workflows in n8n utilizing lightweight JavaScript or Python scripting.
- System Connectivity: Architect custom webhooks and REST API integrations across applications and internal platforms for continuous, real-time data ingestion.
2. Applied AI & Systems Intelligence (40%)
- Chain Multi-Model Frameworks: Construct automated prompt chains combining n8n and Google Agent Platform (formerly Vertex), enforcing token cost opt…

→ XTM International · Workable

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