Software Engineer, Product

Bretton AI•San Francisco, CA

7d•$200,000 - $270,000

About The Position

Bretton AI is hiring Product Engineers to turn complex customer problems into elegant technical solutions. The role involves owning substantial features from conception through production, working directly with customers to understand their needs, designing scalable architectures, and shipping software that improves compliance operations. Engineers build systems that process thousands of cases, save compliance teams time, and contribute to company revenue. The work includes developing interfaces for case management, reporting, and analytics; document analysis and verification systems; agentic workflows that coordinate AI tools and data services while keeping humans involved in review; and tools that let customers configure and customize compliance workflows. The technology stack includes TypeScript, Python, Node.js, React, cloud infrastructure, and workflow orchestration frameworks, though experience with the exact stack is not required.

Requirements

At least 4 years of experience building production software for Engineer roles, 6 years for Senior Engineer roles, or 8 years for Staff Engineer roles.
Strong full-stack capabilities, including backend services, APIs, and databases.
A track record of shipping customer-facing products where reliability is critical.
An end-to-end ownership mindset, from requirements gathering through deployment and iteration.
Clear communication skills and the ability to explain technical decisions to diverse audiences.
Product thinking and an understanding of why a product is being built, not just how.
Comfort learning new technologies quickly and applying them in production.

Nice To Haves

Frontend development experience.
Experience building workflow engines, orchestration systems, or process automation tools.
Experience in regulated industries where compliance, auditability, and data integrity are critical.
Experience integrating AI or LLM capabilities into production applications.
Experience creating configuration systems, admin tools, or workflow builders for non-technical users.
Experience designing systems for multi-tenancy, versioning, or complex authorization models.
A strong foundation in data modeling and distributed systems.

Responsibilities

Own substantial features from conception to production.
Work directly with customers to understand their needs.
Design scalable architectures and ship code that improves compliance operations.
Develop interfaces for case management, reporting, and analytics.
Build document analysis and verification systems.
Build agentic workflows coordinating AI tools and data services for research, enrichment, and verification, with humans in the loop for review.
Create tools that help customers configure and customize compliance workflows.
Gather requirements, deploy software, and iterate based on customer feedback.