Applied AI Engineer
Core
Build end-to-end AI agent features (root-cause analysis, incident triage, monitor generation) and the evaluation infrastructure to ensure production reliability for enterprise AI systems.
Role type
Senior Applied AI Engineer (Agent Systems & Observability)
Builds
Production-ready AI agent features and evaluation infrastructure for Monte Carlo's agent trust platform.
Domain
AI Agents, Observability, Enterprise Software
Deliverable
production ML models
Required skills
Python, autonomous agent development, evaluation framework design, RAG, backend engineering, LLM reasoning, rapid prototyping, cloud/data platform experience
Preferred skills
Statistics and hypothesis testing, MCP server development, Snowflake, Databricks, dbt, Airflow
Technologies
Python, LLMs, Cloud platforms, Snowflake, Databricks, dbt, Airflow
Responsibilities
Research and prototype solutions for ambiguous problems, design and ship agent-powered features, build eval infrastructure (golden datasets, regression suites), own retrieval and context pipelines, instrument agent behavior in production, partner with data science and product teams.
Seniority
Senior, hands-on IC
