Staff Software Engineer — AI Infrastructure & Scale

Alt; New York (NY); On-site; USD 190,000 - 260,000; Full time

Benefits offered by this job

Health coverage

Dental coverage

Unlimited PTO

Office lunch

Job summary

Assured in New York City is seeking a Staff Software Engineer to architect, build, and productize our AI/ML infrastructure. You’ll bridge 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, owns end‑to‑end initiatives, and wants their work to have a measurable impact on healthcare.

Qualifications

• 10+ years of experience building and scaling distributed systems or workflow-heavy SaaS platforms.
• Deep experience implementing AI harnesses.
• Recent startup experience.
• Ability to own architecture and make high-stakes decisions in ambiguous, high-growth environments.
• Strong understanding of modern cloud architecture and full software stacks.
• Excellent communication to explain trade-offs to technical and non-technical audiences.

Responsibilities

• Design and evolve a modular architecture to power configurable healthcare workflows at scale.
• Build a workflow orchestration engine handling thousands of concurrent stateful tasks.
• Define and optimize integration frameworks to connect with thousands of external systems.
• Drive reliability, observability, and performance through fault-domain boundaries.
• Lead design and deployment of AI-powered digital workers and evaluate AI tools.
• Collaborate with product, engineering, and analytics to discover use cases and deliver value.
• Engage with customers to understand challenges and iterate solutions quickly.
• Provide technical mentorship to the engineering team.

Skills

Distributed systems

AI harnesses

Startup experience

Architectural ownership

Cloud architecture

Communication

Job description

Assured in New York City is seeking a Staff Software Engineer to architect, build, and productize our AI/ML infrastructure. You’ll bridge 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, owns end‑to‑end initiatives, and wants their work to have a measurable impact on healthcare.