Sr. Applied AI Engineer - Wellness
Core
Build and ship intelligent AI agents for Wellness clients, owning data ingestion, CRM integration, and real-time agent infrastructure.
Role type
Senior Applied AI Engineer (Client-facing)
Builds
AI orchestrated workflows, agent runtime, routing, orchestration, evals, and ingestion pipelines for enterprise customers.
Domain
Healthcare/Wellness + AI/ML + Data Engineering
Deliverable
production ML models
Required skills
Python, Javascript/Node, Typescript, real-time systems (WebSockets, streaming), CRM integration (Salesforce, HubSpot), data warehousing (Snowflake, Databricks, S3), ETL/ELT pipelines, cloud infrastructure (AWS, GCP), containerization, CI/CD, client-facing technical communication
Preferred skills
Voice/telephony infrastructure, LLM orchestration, agentic system design, prompt engineering, function calling, workflow engines, rules engines, state machine architectures, product sensibility