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python gcp microservices go aiπ Description
- Design and build back-end services, APIs, and integrations for internal AI tools.
- Lead architecture for internal AI tools, using existing data foundations.
- Define technical approaches, trade-offs, and roadmaps for AI initiatives.
- Implement tooling standards and best practices for AI development under governance.
- Run deep-dive discovery on AI use cases and shape the roadmap for internal AI.
- Drive cross-functional initiatives to embed AI into workflows and enable adoption.
π― Requirements
- Senior/staff back-end engineer with production experience in Go or Python on GCP.
- Experience building AI/LLM-powered systems from prototyping to production.
- Strong product instincts with end-to-end ownership, discovery, and PRDs.
- Stakeholder management across senior leaders and departments; align on trade-offs.
- Balance IC engineering with technical leadership: set direction and mentor.
- Fluent with modern AI tooling and agent ecosystems; build vs. buy.
π Benefits
- Fully remote setup with optional Vienna office.
- Dedicated learning budget for courses and conferences.
- Private sessions with experts for growth and mental health.
- Internal workshops to develop skills across teams.
- Three annual on-site office weeks with team events.
- Dogs allowed in the office.
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