Staff Software Engineer, Full Stack - New Verticals

Build end-to-end full-stack systems for new legal industry verticals, including frontend apps, backend services, data pipelines, and AI agent workflows. Requires 8+ years experience with strong fundamentals in backend, data modeling, and production systems ownership.

About the job

What You'll Do

Design and build production systems end-to-end across frontend applications, backend services, APIs, data models, and developer tooling.
Develop new vertical product capabilities involving document ingestion, workflow orchestration, retrieval, structured outputs, agent frameworks, and human-in-the-loop review flows.
Build and operate data-intensive systems, including ETL pipelines, analytical data models, serving layers, and interfaces for querying and exploring large datasets.
Work across a modern technical stack that may include Python, TypeScript, SQL, cloud infrastructure, agent orchestration engines, data processing platforms, and analytical databases.
Define service boundaries, schema design, and system architecture for new product areas with an emphasis on reliability, extensibility, and speed of iteration.
Ship customer-facing features quickly, then harden them for scale through observability, testing, performance tuning, and operational excellence.
Partner directly with customers and internal stakeholders to understand domain-specific workflows, map requirements into technical designs, and iterate rapidly on real usage.
Build evaluation, monitoring, and feedback systems that measure product quality in production and inform engineering and model decisions.
Contribute reusable platform patterns, abstractions, and internal tools so successful solutions can scale across customers and verticals.
Help drive technical direction in ambiguous spaces, making strong engineering decisions with incomplete information and a high degree of ownership.

What You Have

8+ years of experience building and operating production software, with meaningful ownership of systems from initial concept through launch and iteration.
Strong engineering fundamentals across backend systems, APIs, data modeling, and exposure to at least one modern frontend stack.
Experience building full-stack products, not just isolated services or UI layers.
Experience working with data pipelines, analytical systems, or document-heavy workflows, including schema design, ETL, query performance, and data reliability.
Experience building AI-powered or workflow-driven applications, such as retrieval systems, agentic workflows, orchestration layers, evaluation pipelines, or structured generation systems.
Comfort working across a broad technical surface area, including application code, infrastructure, databases, observability, and internal tooling.
Ability to debug and improve complex production systems using logs, metrics, traces, dashboards, and strong engineering intuition.
Strong product sense and the ability to translate ambiguous business or user needs into thoughtful technical designs.
Comfort partnering directly with customers and cross-functional teams to scope problems, validate solutions, and drive adoption.
Clear, concise communication, a low-ego working style, and enthusiasm for collaborating in person with teammates in New York.