Applied AI Engineer – Life Sciences, Healthcare

full-time

Posted on: 4/3/2026

Location Type: Remote

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About the role

Build and deploy AI-powered voice and messaging agents for healthcare and life sciences clients, end-to-end.
Own client-facing technical relationships: translate business workflows into agent configurations, integration specs, and production systems.
Integrate with client data systems including CRMs, EHR/EMR platforms, specialty pharmacy systems, claims and Rx data feeds and build the ingestion pipelines to support them.
Write production backend services (TypeScript) and routing/ML logic (Python).
Design and maintain databases (relational and caching layers) that support both real-time agent operations and compliance audit trails.

5+ years in a production engineering role shipping customer-facing software.
Fluency in TypeScript and Python.
Experience building and operating real-time systems: WebSockets, streaming media, event-driven architectures, or high-throughput API services.
Production integration work with CRM platforms (Salesforce, HubSpot, or similar), healthcare data systems (EHR/EMR, claims, pharmacy), or data warehouse/lake connectors (Snowflake, Databricks, S3).
Solid database fundamentals: relational schema design, query optimization, caching strategies.
Working knowledge of data engineering patterns: ETL/ELT pipelines, data quality checks, ingestion from heterogeneous sources.
Comfort with cloud infrastructure (AWS, GCP): containers, CI/CD, monitoring, and basic security practices.
Ability to work within HIPAA-regulated environments.
Strong client-facing communication.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

TypeScriptPythonWebSocketsstreaming mediaevent-driven architecturesAPI servicesrelational schema designquery optimizationETLELT

Soft Skills

client-facing communication