Senior Applied AI Engineer - End-to-End Health Platform

Concurrence; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health insurance

Catered meals (lunch/dinner)

Mental health support

Wellness stipend

Learning budget for courses/books/conf

Conference attendance budget

Annual team offsite

Academic collaboration opportunities

Unlimited PTO

Job summary

Concurrence is building a platform for healthcare organizations to deploy clinical AI agents. As a Senior Applied AI Engineer, you will own an end-to-end customer use case, take deployments from brief to production, and push architecture decisions that shape the platform.

You will build agent systems that run in clinical settings, manage complex EHR integrations, and turn field learnings into reusable platform capabilities. Collaboration with customers and clinicians is core to success.

Qualifications

• Own a whole use case from brief to production.
• Build agent systems that hold up in clinical settings.
• Take on integration work across EHRs and data sources.
• Turn field-proven patterns into platform capabilities.
• Raise issues early when scope or specs change.
• Mentor teammates and write usable docs.

Responsibilities

• Own a whole use case from deployment brief to production and beyond.
• Build agent systems with hierarchies of agents and deterministic lookups.
• Handle EHR integration and data shape to platform needs.
• Turn proven field patterns into platform capabilities and generalize.
• Raise scope or spec issues before they cost the project.
• Mentor engineers on the use case and contribute clear docs.

Skills

End-to-end ownership

LLMs in production

Agent systems design

EHR integration

Databricks

Customer collaboration

Tools

Databricks

Job description

Concurrence is building a platform for healthcare organizations to deploy clinical AI agents. As a Senior Applied AI Engineer, you will own an end-to-end customer use case, take deployments from brief to production, and push architecture decisions that shape the platform.

You will build agent systems that run in clinical settings, manage complex EHR integrations, and turn field learnings into reusable platform capabilities. Collaboration with customers and clinicians is core to success.