Monte Carlo

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ai-engineer

Monte Carlo is a data observability company that provides a comprehensive platform to ensure reliable data and AI delivery. Their services include machine learning-enabled data anomaly detection, incident triaging, and root cause resolution to maintain high data quality. They offer data quality monitoring, testing, and cost optimization tools for cloud infrastructures, enabling companies to deploy and manage data with confidence. Monte Carlo is tailored for verticals such as financial services, healthcare, media, and technology, helping organizations to self-serve, maintain dashboard integrity, and launch reliable data products. Their solutions aim to eliminate data downtime and enhance operational efficiency across enterprise data landscapes.

• Take open problems end-to-end from research and prototyping through production
• Design and ship agent-powered features such as root-cause analysis, incident triage, and monitor generation
• Integrate agent-powered features into the platform with engineering teams
• Build eval infrastructure including golden datasets, regression suites, offline and online scoring
• Own retrieval and context pipelines over customer metadata, lineage, and query history
• Instrument agent behavior in production using traces, failure taxonomies, cost budgets, and latency budgets
• Partner with data science on detection quality and experiment design
• Partner with product management on agent capabilities and behavior
• Set technical patterns, guardrails, and reusable internal tooling for LLM development

Senior AI Engineer

Senior AI Engineer building autonomous agent features and evaluation infrastructure. Improving Monte Carlo's platform for observing, troubleshooting, and trusting production AI systems.

Monte Carlo

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Senior AI Engineer

Monte Carlo