Senior Backend Engineer, AI Healthcare Platform

Counsel Health, Inc.

United States

Hybrid

USD 150,000 - 210,000

Full time

14 days+
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Benefits offered by this job

Impact
Growth opportunities
Competitive salary + equity
Comprehensive healthcare and benefits

Job summary

Counsel Health, Inc. is seeking a Senior Backend Engineer to define the future of AI-powered, human-led healthcare. You will own core product primitives—external APIs, health data models, retrieval infrastructure, and enterprise integrations—on the Platform & Integrations team.

The role centers on scaling our platform for enterprise clients and AI-driven clinical workflows. Ideal candidates will design durable APIs, model high-frequency data, and contribute to greenfield architectural decisions

Qualifications

  • 5+ years building production backend systems.
  • Experience designing and maintaining external-facing APIs used by customers or partners.
  • Strong data modelling instincts around time-series or high-frequency data.
  • Experience with distributed systems and multi-tenant architectures.

Responsibilities

  • Design and evolve external API and embedded product layer for long-term stability.
  • Evolve retrieval harness to support patient and clinical search with strict permissions and audit guarantees.
  • Build reusable platform primitives to extend AI capabilities with partners.
  • Contribute to core data models that unify structured health records and time-series data.

Skills

API craftsmanship
External APIs
Data modeling
Distributed systems
Time-series data
Greenfield architecture

Tools

Cloud platforms

Job description

Counsel Health, Inc. is seeking a Senior Backend Engineer to define the future of AI-powered, human-led healthcare. You will own core product primitives—external APIs, health data models, retrieval infrastructure, and enterprise integrations—on the Platform & Integrations team.

The role centers on scaling our platform for enterprise clients and AI-driven clinical workflows. Ideal candidates will design durable APIs, model high-frequency data, and contribute to greenfield architectural decisions

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