Senior Software Engineer (Backend)

Counsel Health•New York, NY

3d•$185,000 - $225,000•Hybrid

About The Position

We're looking for a Senior Backend Engineer to help define the future of AI-powered, human-led healthcare. You'll sit on our Platform & Integrations team, owning the core product primitives the rest of the company builds on: external APIs, health data models, retrieval infrastructure, and enterprise integrations. This role is central to scaling our platform: supporting enterprise healthcare clients, powering AI-driven clinical workflows, and keeping distributed systems correct and reliable. Much of this is greenfield, especially how we model and operationalize longitudinal health data from wearables and external systems.

Requirements

5+ years building production backend systems, ideally in high-growth environments
Experience designing and maintaining external-facing APIs used by customers or partners
Strong data modeling instincts, particularly around time-series or high-frequency data
Experience working with distributed systems and multi-tenant architectures
Comfort contributing to greenfield architectural design while shipping pragmatically
Cares deeply about API craftsmanship and long-term system design
Has built complex systems that external customers rely on
Enjoys modeling messy real-world data, especially high-frequency signals, into clean, durable abstractions
Has built comprehensive search or RAG systems at production scale
Has helped scale early systems from 1 to 10 in a fast-paced environment
Thrives in small, high-leverage teams where ownership is real
Has a track record of maintaining and leveling up operational excellence across engineering organizations

Responsibilities

Design and evolve our external API and embedded product layer with long-term stability, disciplined versioning, and enterprise-grade craftsmanship
Evolve our agentic retrieval harness to support patient and clinical search across structured and unstructured data, with strict permission and audit guarantees
Build reusable platform primitives that let external partners embed and extend our AI capabilities, so every integration adds lasting platform leverage
Contribute to core data models that unify structured health records, unstructured inputs, and high-frequency time-series signals