Related skills
machine learning distributed systems data pipelines observability data ingestion📋 Description
- Own architecture and evolution of our large-scale data extraction and normalization platform.
- Design systems processing hundreds of thousands of records across PDFs, HTML, APIs, XLS.
- Minimize human-in-the-loop validation with AI-based checks, confidence scoring, and provenance.
- Establish contracts for correctness, traceability, and confidence.
- Balance AI-driven approaches with rules-based systems to improve reliability and explainability.
- Mentor senior engineers and raise expectations for system design and execution.
🎯 Requirements
- 10+ years building and operating large-scale production systems.
- Proven experience designing data ingestion, extraction, or processing systems at scale.
- Deep expertise in distributed systems, data pipelines, or AI-powered extraction.
- Design trustworthy AI + deterministic systems.
- Strong reliability, observability, failure modes, and hardening.
- Reduce operational or human overhead through better system design.
🎁 Benefits
- Equity may be offered.
- Generous benefits package.
- Salary ranges disclosed on postings.
- Equal opportunity employer with inclusive policies.
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