AI Engineer

Principal AI Engineers – AI Platform Team

Location: Germany

Compensation:

• 115k - 130k EUR

Join a New AI Engineering Team

A major digital organisation is launching a brand-new AI Engineering function to drive the enablement, adoption and scaling of Generative AI across the entire business. This team will build the platforms, infrastructure and tooling that unlock AI-driven productivity—from multi-agent workflows to LLM observability, MCP integrations and enterprise-grade GenAI systems.

We are hiring both Senior/Lead Software Engineers and Principal Software Engineers to help shape the company’s next-generation AI platform.

What You’ll Do (All Levels)

• Design, build and scale foundational GenAI platform capabilities, including:
• AI gateways
• Python & TypeScript SDKs
• RAG pipelines
• LLM frameworks
• Vector database integrations
• MCP capabilities and agentic tooling
• Develop reusable automation and workflow components used across the organisation.
• Partner with engineering teams to define, implement and evangelise GenAI standards.
• Build production-scale systems deployed in AWS using ECS, Fargate, EKS, and IaC.
• Support engineering teams in adopting GenAI best practices and integrating advanced capabilities.

Additional Responsibilities (Principal Level)

• Lead and mentor a team of AI-focused engineers.
• Own the long-term technical strategy and roadmap for GenAI.
• Establish and influence engineering-wide standards and governance.
• Drive adoption and usage of the AI platform across business units.

What You Bring

Core Qualifications (Senior/Lead & Principal)

• Proven experience developing GenAI applications using frameworks such as LlamaIndex, LangGraph, or similar.
• Strong understanding of LLM model families, providers, and performance trade-offs.
• 5+ years (Senior/Lead) or 8+ years (Principal) building large-scale production applications in Python, Node, TypeScript or Go.
• Deep understanding of GenAI primitives such as vector databases, RAG, memory, semantic/hybrid search, agentic workflows, MCP and A2A patterns.
• Ability to work autonomously on complex technical problems.
• Experience deploying scalable applications in AWS.
• Excellent communication and cross-team collaboration skills.

Nice-to-Have Skills

• Production TypeScript experience at scale.
• Experience with AWS Bedrock (Guardrails, Evaluations, Agents).
• Developing organisation-wide GenAI evaluation frameworks.
• Experience with LLM observability tooling.
• Building or integrating MCP servers with AuthN/AuthZ controls.

Why You’ll Love Working Here

• Inclusive, collaborative, and innovative engineering culture
• Clear behavioural principles that guide growth and teamwork
• Opportunity to influence and shape a rapidly expanding AI function

About the Organisation

The company provides accessible design, digital and marketing solutions to millions of small businesses worldwide, helping them elevate their brand across physical and digital channels. Its ecosystem includes modern design platforms, digital tools, and production capabilities, enabling business owners to build consistent, professional brand experiences.