Senior AI Engineer

Job not on LinkedIn

🔥 0 minutes ago

🏈 North America – Remote

💵 $180k - $240k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Monte Carlo

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

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.

📋 Description

• 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

🎯 Requirements

• Experience building agents in production with real autonomy and internal loops • Experience running evals and monitoring agents after launch • Ownership of an eval framework with golden datasets, regression suites, offline and online scoring • Python as a daily language • Solid backend skills • ML or data science background • Understanding of model behavior • Ability to work from ambiguous problem statements and take solutions into production • Daily use of AI tools such as Claude or equivalent • Experience with backend and model-layer work; no frontend requirement • Ability to prioritize shipping effective solutions over unnecessary polish • Nice to have: statistics and hypothesis testing • Nice to have: building and maintaining MCP servers • Nice to have: experience with Snowflake, Databricks, dbt, or Airflow

🏖️ Benefits

• Equity • Stock Options • Healthcare plans • 401k Retirement Plan • Wellness Stipend • Home Office Stipend • Cell Phone or WIFI reimbursement • Paid Parental Leave • Flexible Time Off • Generous Travel Policy • Remote-first environment