AI Agent Engineer
Core
Design, develop, and deploy AI agents on Databricks, managing the full lifecycle from prototyping to production, including evaluation and monitoring.
Role type
Senior AI Agent Engineer (MLOps)
Builds
Production AI agents and evaluation frameworks for Scout Motors' electric vehicles and rugged SUVs
Domain
Automotive (Electric Vehicles) + AI/LLM Operations
Deliverable
production ML models
Required skills
AI agent development, Databricks (Mosaic AI/Agent Framework), MLflow (tracking, evaluation, tracing), Python, SQL, RAG pipelines, CI/CD for ML
Preferred skills
BI tools (Sigma, PowerBI), Streamlit/Gradio, responsible AI frameworks
Technologies
Databricks, MLflow, Python, LangChain, LlamaIndex, AutoGen, Delta Lake, Unity Catalog, Vector Search
Responsibilities
Design and deploy AI agents on Databricks; build robust evaluation frameworks using MLflow; drive quality improvement via offline/online monitoring; incorporate human feedback into agent cycles; collaborate on data pipelines; surface agent insights via dashboards; close data quality gaps
Seniority
Senior, hands-on IC