Senior AI Engineer

Berlin, Germany

Full-time

Founded in 2022, 1

GLOBAL has rapidly become one of Europe's fastest-growing telecom technology companies, connecting more than 80 million people and devices globally. Our customers include leading banks, multinational enterprises, global retailers, travel companies, payment service providers, and digital-first businesses.

Headquartered in the Netherlands, with R&D hubs in Lisbon, Berlin, and São Paulo, 1

GLOBAL employs over 550 professionals across 16 countries. With annual revenues exceeding US $200 million and a strong track record of profitability, we continue to invest in innovation, infrastructure, and international expansion as we redefine the future of global mobile connectivity.

We are building a new AI team within Engineering, tasked with driving AI adoption across 1

GLOBAL. The team’s mission is to make AI a practical, governed, and well-supported capability for every part of the company, from the engineers writing our software to the operations teams running the business. Beyond the internal platform, the team will contribute AI-powered capabilities to our commercial product lines.

This is a foundational hire. As one of the first engineers on the team, you will work alongside a dedicated product manager and engineering team lead to set the technical direction, make early architectural decisions, and build the systems that the rest of the AI function will grow on.

• Desing and build central AI platform development and governance:
  
  AWS Bedrock fronted by an LLM gateway (LiteLLM, Portkey, or similar). Token budgets, rate limits, key management, guardrails, audit logging, observability, cost controls.
• Engineer the technical architecture of 1
  
  GLOBAL’s internal AI tools and MCP servers, including RAG pipelines, vector search, LLM integration, and conversational interfaces.
• Build secure ingestion and indexing pipelines for internal knowledge sources (Confluence, SharePoint, document repositories, internal APIs) with appropriate access controls.
• Develop backend services and APIs that expose AI capabilities to internal users and, over time, to product teams building customer-facing features.
• Establish engineering standards for the AI function: testing, deployment, monitoring, and model evaluation frameworks.
• Own the full development lifecycle from requirements through production monitoring, with a bias toward shipping and iterating.

• 5+ years of software engineering experience,with meaningful recent work integrating LLMs into real systems
  . Deep traditional ML or model-training background is not required.
• Strong generalist backend engineer. Python proficiency is expected. You’re comfortable building a full-stack internal tool end-to-end and shipping it without waiting for permission.
• Hands-on experience with AI gateways or model routing layers such as LiteLLM, Portkey, or AWS Bedrock — including token limits, guardrails, observability, and cost management.
• Practical experience building MCP servers, or strong fluency with similar tool-calling and agent integration patterns. MCP specifically is a plus.
• Power user of AI coding agents (Claude Code, Codex, or similar). You can define skills, workflows, and standards that make other engineers more effective — not just use the tools yourself.
• Working knowledge of RAG, vector search, and LLM evaluation. You understand the trade-offs and can build a solid pipeline. Depth in this area is a plus, not a prerequisite.
• Comfortable with CI/CD, containerization (Docker, Kubernetes), and infrastructure-as-code.
• Familiarity with data security practices - PII handling, access controls, data classification. Experience in regulated…