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...