Staff Software Engineer

Alt

New York (NY)

On-site

USD 190,000 - 260,000

Full time

3 days ago
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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

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 cloud architecture and full software stacks.

  • Excellent communication — able to clearly explain technical trade-offs to technical and non-technical audiences alike.

You’ll Love This Role If You

  • Want to lead AI projects from idea to deployment.

  • Want to own architecture, projects, and culture.

  • Thrive in a 0→1 environment, building from scratch and scaling from concept to production.

  • Care deeply about impact — accelerating patient access by fixing the infrastructure of healthcare.

  • Believe great products emerge from tight collaboration between product, engineering, and operations.

  • Want your work to outlast you — building systems that become part of healthcare’s invisible infrastructure.

Why Join Assured
  • High-impact work - Tackle bottlenecks that slow down provider access to patients

  • Real-world AI – Build intelligent systems that reason, act, and automate in production.

  • Cross-functional exposure - Collaborate with customers, clinical ops, engineers, and founders

  • Early-stage upside - Equity, early influence, and a high-growth trajectory

  • People-first culture - Mental health time, and a focus on outcomes, not hours

Benefits and Pay

Our headquarters are located in New York City. This is an in-office role. We value in-person collaboration - we host offsites, outings, and team meals to stay connected as people, and offer office lunch and a fully stocked snack bar.
We provide competitive base compensation along with stock options. Compensation for this role depends on experience and interview performance. We offer generous employer-sponsored health and dental coverage, nine company holidays, and unlimited PTO ("take what you need").

EEO Statement

Assured is an equal opportunity employer committed to diversity and inclusion. We prohibit discrimination and harassment based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic under federal, state, or local laws.

This policy applies to all employment practices, including hiring, promotion, termination, compensation, benefits, training, and apprenticeships. Assured bases hiring decisions solely on qualifications, merit, and business needs.

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