Staff Software Engineer

Company: Assured

Location: New York, NY

Salary: $300,000 - $350,000 a year

Type: Full-time

Posted: 2026-10-12

About this role

# The Role

We’re looking for a Staff Software Engineer to help architect, build, and productize our AI/ML infrastructure. You'll be the bridge between research, product, customers, and engineering, driving AI adoption from strategy through production at scale.

This role is ideal for someone who thrives in early-stage environments, enjoys owning things end to end, and wants their work to have a measurable impact on an industry that desperately needs modern infrastructure.

# What You’ll Do

System Architecture & Design

  • Design and evolve a modular architecture to power configurable healthcare workflows at scale.
  • Build a workflow orchestration engine capable of handling thousands of concurrent stateful tasks (credentialing, verification, enrollment).
  • Define and optimize integration frameworks to connect with thousands of external systems — web portals, APIs, PDFs, spreadsheets.
  • Drive reliability, auditability, and performance through observability, self-healing, and clear fault-domain boundaries.

Applied AI and Automation

  • Lead the design and deployment of AI-powered digital workers — LLM- and rules-driven agents that perform operational workflows end-to-end.
  • Evaluate AI tools, frameworks, and third-party APIs, ensuring alignment with platform goals and data protection requirements.

Leadership

  • Partner with product, engineering, and analytics to discover use cases, build features, and deliver value
  • Engage with customers to understand operational challenges, validate assumptions, and iterate solutions quickly
  • Provide technical mentorship to the engineering team

# What We’re Looking For

Qualifications

  • 10+ years experience building and scaling complex, distributed systems or workflow-heavy SaaS platforms.
  • Deep experience implementing AI harnesses.
  • Recent experience in startups.
  • Proven ability to own architecture and make high-stakes technical decisions in ambiguous, high-growth environments.
  • Deep understanding of modern clou...

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