ML Engineer I

About the role

Ship end to end, API, workflow orchestration and the front end needed for Ops to review and act on exceptions. Must have Agent frameworks and tool/function calling. Cloud native delivery on Azure/AKS, containers, CI/CD. Workflow orchestration experience, Temporal preferred.

What you'll do

• Build production Gen AI and agentic components inside our operations platforms, primarily document and email reading, extraction
• Design prompt and configuration driven pipelines so a reader built for one workflow can be extended to another asset class or servicer without a code rewrite
• Own the accuracy and control layer, deterministic validation, exception routing, evaluation harnesses and regression testing of model outputs

What you need

• 5–7 yrs of experience
• Machine learning
• SQL
• C#
• .NET
• TypeScript
• Python
• Any graduate

Good to have

• Snowflake
• IAM
• React
• LLMs
• Prompt engineering
• Regression testing