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About 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.
Responsibilities
- 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.
- 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.
- 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.
Requirements
- 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.
Skills
- AI/ML infrastructure
- AI adoption
- System Architecture & Design
- workflow orchestration
- integration frameworks
- AI
- LLM
- cloud architecture
- software stacks
Location
- New York City
Work Type
- in-office
Experience Level
- Staff
- 10+ years
Salary/Compensations
- Competitive base compensation
- stock options
- Compensation depends on experience and interview performance
Benefits
- Equity
- Mental health time
- Focus on outcomes, not hours
- Office lunch
- Fully stocked snack bar
- Generous employer-sponsored health and dental coverage
- Nine company holidays
- Unlimited PTO
About the Company
- Tackle bottlenecks that slow down provider access to patients.
- Build intelligent systems that reason, act, and automate in production.
- Collaborate with customers, clinical ops, engineers, and founders.
- Early-stage upside
- High-growth trajectory
- People-first culture
Equal Opportunity
- 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.