Senior Software Engineer - Scalable AI-Driven Claims Platform

Brighterway; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Equity

Job summary

Brighterway is hiring a Senior Software Engineer to design, build, and evolve core product systems across frontend, backend, and ML-adjacent workflows. You’ll own data models, APIs, and scalable backend services while collaborating with ML engineers on deployment workflows and quality control.

You’ll work on production frontend applications, backend services, and ML-adjacent pipelines, focusing on reliability, throughput, and insightful error handling.

Qualifications

• 3+ years of professional software engineering experience.
• Strong full-stack experience across frontend and backend in production environments.
• Strong backend experience (Python preferred).
• Experience building and maintaining React-based frontends (TypeScript preferred).
• Comfort designing APIs, data models, and asynchronous workflows.
• Experience operating systems at scale and handling production incidents.
• Ability to reason through tradeoffs and make pragmatic architectural decisions.

Responsibilities

• Build and maintain frontend data-heavy web interfaces using React and TypeScript.
• Design and maintain backend services and APIs (Python preferred).
• Define data models, API contracts, and business logic for ingestion, processing, and review.
• Integrate with ML inference pipelines and document processing workflows.
• Scale systems for higher throughput, reliability, and observability.
• Collaborate with ML engineers on deployment workflows and quality control.

Skills

Full-stack experience

React (TypeScript)

Python

APIs design

Data modeling

System design

Production incidents handling

Tools

GCP

AWS

Job description

Brighterway is hiring a Senior Software Engineer to design, build, and evolve core product systems across frontend, backend, and ML-adjacent workflows. You’ll own data models, APIs, and scalable backend services while collaborating with ML engineers on deployment workflows and quality control.

You’ll work on production frontend applications, backend services, and ML-adjacent pipelines, focusing on reliability, throughput, and insightful error handling.