Top Engineering Jobs

Build correctness-critical tax software, including versioned calculation graphs, e-file infrastructure, structured return extraction, temporal tax-law resolution, preparer workflows, audit trails, and regression evaluations. Operate production systems from architecture through post-launch iteration while ensuring precise, reproducible results for corporate tax filings and amendments.

Build and operate production software for agricultural R&D tax-credit analysis. Responsibilities include ingestion pipelines for messy farm records, integrations with agricultural systems, qualification engines, automated tax-methodology checks, new incentive coverage, and evaluation systems prioritizing filing accuracy. The role requires strong typed-language and SQL skills, production software experience, comfort with inconsistent data, precise communication, and in-person work in New York City.

Build and ship production software across agent pipelines, data ingestion, operator tooling, user interfaces, services, schemas, tests, deployments, and tax computation. Write evaluations to verify correctness, collaborate closely with senior engineers, and take ownership in an ambiguous environment. Engineers may work with AI agents, structured extraction, cloud infrastructure, and tax-related systems.

Build and operate the agent execution platform, evaluation systems, versioned tax law and citation infrastructure, and internal engagement tools. Develop durable workflows, observability, task management, document collection, and client communication capabilities. Own production systems with defined SLOs while enabling other engineering teams through reusable platform primitives. Ensure correctness, auditability, and compliance for software supporting tax credit filings.

Own technical strategy and architecture for agent infrastructure, tax computation, data pipelines, evaluation systems, and filing workflows. Design and ship highly available, correctness-critical systems; lead infrastructure investments; make build-versus-buy decisions; create technical roadmaps; advise founders and engineering leadership; and raise engineering quality through designs, code, reviews, and technical direction without direct authority.

Own a major product surface, write and review production code, make long-term architecture and build-versus-buy decisions, and maintain high correctness standards. Collaborate directly with founders on roadmap, improve evaluation systems, and optionally lead a small engineering pod through code reviews, one-on-ones, and technical mentorship. Work involves ambiguous problem definition, end-to-end system ownership, and potentially LLM-powered platforms, cloud infrastructure, compliance-aware design, and internal engineering tools.