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AI Talent Now in New York is seeking a Senior Backend Engineer with over 5 years of experience in backend engineering focused on AI systems. You'll design complex backend architecture and build scalable, production-ready solutions that directly impact healthcare. The role demands a co-founder mindset with a focus on adaptability and driving business outcomes.
The ideal candidate has strong proficiency in Python, experience in handling high-scale systems, and a Computer Science degree from a reputable university. Join us to build transformative solutions in healthcare.
New York, United States | Posted on 06/08/2026
We are looking for a Senior Backend Engineer with 5+ years of experience to join our team and build production Agentic systems at scale. You will be a strong individual contributor with a co-founder mindset, helping us push the frontier of what's possible with Agentic workflows in Healthcare. You will take powerful platform capabilities, design multi-step workflows, and ship them to production to directly impact patient outcomes on our AI-powered care orchestration platform. Roughly 60‑70% of your time is deployment-focused; the remainder is platform contribution: building reusable workflow primitives, improving shared infrastructure, and shaping how we architect agentic systems at scale.
Ideally, you have 5+ years of experience in backend engineering focused on building and operating production AI systems.
Experience & Tenure: 5+ years of hands‑on experience building and operating production backend systems, preferred with recent experience in AI‑powered services and automation workflows in high‑availability environments.
Core Backend Expertise: Proven experience designing and operating complex backend systems, including a deep understanding of concurrency, scalability, reliability, and distributed systems patterns.
Technical Stack: Strong experience building and maintaining large-scale Python codebases and hands‑on experience with async or event-driven architectures.
Production AI Focus: Experience building and shipping AI-powered systems beyond prototypes or internal demos.
Desired background: Solid engineering at scale in big company or well‑funded startup and preferably worn multiple hats in a fast‑paced startup environment.
Education: Computer Science degree from a top‑tier or Top 30 university.
Infrastructure ownership: Builds, deploys, monitors, and iterates on end-to-end systems (on call rotation is part of the role).
Agentic development fluency: Orchestrating sub‑agents, knowing when to use off‑the‑satellites vs. frontier models.
Co‑founder mindset: Ships fast, understands trade‑offs, drives business outcomes.