Forward Deployed AI & Data; FDAID) Engineer

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.

Hybrid working requirement: Candidates should be able to attend our Marousi, Athens office a few times a month. 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 front lines 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.

Your focus will be structured around a 60/40 split between core Data Engineering and Applied AI Systems.

• Wrangle Legacy Data:
  Dig into multiple databases, writing advanced SQL to model data streams straight into a centralized Big Query 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.

• Chain Multi-Model Frameworks:
  Construct automated prompt chains combining n8n and Google Agent Platform (formerly Vertex), enforcing token cost optimization.
• Deploy Localized RAG:
  Inject historical operational data and product telemetry into context-rich vector databases to drive real-time decision support.
• Hardcode Exception Loops:
  Build resilient error-handling and automated self-healing routines inside n8n to flag operational regressions and prevent pipeline failures.

• Battle-Tested Professional:
  Proven experience working as a self-directed operator capable of driving projects independently without junior-level mentoring overhead.
• Restless Curiosity: A natural, self-driven interest in emerging AI technologies, iterative design, and automated workflow architecture.
• Experience:
  
  5+ years engineering, 1–2+ years applied AI/RAG

• Data Engineering & SQL:
  Expert-level SQL skills with experience wrangling messy datasets and designing data schemas in Google Big Query or equivalent cloud warehouses.
• Workflow Automation & APIs:
  Strong experience with n8n (or similar orchestration engines like Zapier/Make), REST APIs, webhooks, JSON parsing, and Python or JavaScript.
• Applied AI & LLMs:
  Hands-on experience deploying Large Language Models, prompt engineering, Retrieval-Augmented Generation architectures, vector databases, and multi-model agentic framework tools.
• Operational Discipline:
  Dedication to deterministic data management, strict data hygiene, and asynchronous, written communication.

• Efficiency:
  Driving operational efficiency gains via embedded AI technical assistants and securing gross account retention through real-time, automated RAG at-risk alerting.
• Live pipelines:
  Accelerating programmatic pipelines and arming account teams…