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security distributed systems ai data pipelines observabilityπ Description
- Lead the Agent Engine architecture for agent-based experiences.
- Migrate features to a unified agent system, balancing speed and reliability.
- Design exposure of internal systems as agent capabilities for integration.
- Build evaluation systems to measure quality, reliability, and impact.
- Partner with research and ML teams to define system vs model scope.
- Prototype agent-based approaches and scale successful ideas.
- Support best practices for production AI, including observability and performance.
- Contribute to standards ensuring speed with security and reliability.
- Stay updated on AI/ML advances and apply ideas to Spotify.
π― Requirements
- Experience building scalable production AI systems with LLMs.
- Experience across system design, infrastructure, and ML.
- Experience with agent orchestration, LLM infra, eval systems, or ML data pipelines.
- Experience with platform consolidation across teams.
- Ability to navigate ambiguous problems and bring structure.
- Clear communicator with Eng, Product, Research at all levels.
- Stay informed on AI developments and apply ideas practically.
- Pragmatic builder using prototypes and iteration.
- Ownership of outcomes and proactive risk management.
π Benefits
- Health insurance
- Six months paid parental leave
- 401(k) retirement plan
- Monthly meal allowance
- 23 paid days off
- 13 paid flexible holidays
- Paid sick leave
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