Senior Software Engineer, Fullstack

Assured•New York, NY

1d•$180,000 - $200,000•Onsite

About The Position

Assured is seeking a Software Engineer to architect, build, and productize AI/ML infrastructure. The role connects research, product, customers, and engineering, driving AI adoption from strategy through production at scale. It is suited to someone who thrives in an early-stage environment, takes end-to-end ownership, and wants to make a measurable impact on healthcare infrastructure. The position involves designing a modular, service-oriented architecture for configurable healthcare workflows; building orchestration for thousands of concurrent stateful tasks; and developing integrations with external systems including web portals, APIs, PDFs, and spreadsheets. The engineer will also lead the design and deployment of AI-powered digital workers that use LLMs and rules to perform operational workflows, evaluate AI tools and third-party APIs, and work with product, engineering, analytics, and customers to identify needs and deliver solutions. This is an in-office role at the company’s New York City headquarters. The company describes the compensation as competitive, dependent on experience and interview performance, and offers stock options and benefits.

Requirements

At least 5 years of experience building and scaling complex distributed systems or workflow-heavy SaaS platforms.
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 skills, including the ability to explain technical trade-offs to technical and non-technical audiences.

Nice To Haves

Experience with workflow orchestration frameworks or event-driven architectures.
Contributions to open-source projects, publications, or an active technical presence, such as a technical blog.

Responsibilities

Design and evolve a modular, service-oriented architecture for configurable healthcare workflows at scale.
Build a workflow orchestration engine capable of handling thousands of concurrent stateful tasks, including credentialing, verification, and enrollment.
Define and optimize integration frameworks for external systems such as web portals, APIs, PDFs, and 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 using LLM- and rules-driven agents to perform operational workflows end to end.
Evaluate AI tools, frameworks, and third-party APIs for alignment with platform goals and data protection requirements.
Partner with product, engineering, and analytics teams to discover use cases, build features, and deliver value.
Engage with customers to understand operational challenges, validate assumptions, and iterate on solutions.