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Key skills for this role
Own architecture decisions for core platform services involving distributed microservices, graph storage, streaming ingestion, ETL pipelines, and semantic retrieval at scale.
The role requires reasoning about trade-offs and failure modes before implementation.
QUIPU provides AI infrastructure for long-term memory for enterprises engineering complex systems.
The platform supports traceability, failure prediction, drug-development workflows, battery models, and AI-agent memory.
Own architecture decisions for core platform services involving distributed microservices, graph storage, streaming ingestion, ETL pipelines, and semantic retrieval at scale.
The role requires reasoning about trade-offs and failure modes before implementation.
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Comfort with ambiguity and small-team ownership.
Ability to debug from first principles, document learnings, communicate trade-offs, and disagree constructively.
Full-time
Entry
Onsite
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