Software Engineer

Cara; San Francisco (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

Cara in San Francisco, CA is hiring a Software Engineer to own full-stack features powering our AI platform for insurance customers. You will build frontend UI, backend APIs, and AI infrastructure, collaborating with product, AI, and go-to-market teams to ship high-impact solutions.

Requirements include 3+ years of full-stack experience, fluency in Golang, TypeScript, and React, plus a solid CS foundation and ability to ship in fast-paced environments.

Qualifications

• 3+ years of full-stack software engineering experience.
• Proficiency in Golang, TypeScript, and React.
• Proficiency in AI concepts, APIs, workflows, and tools.

Responsibilities

• AI Agents & Workflows: Develop autonomous digital workers that automate insurance workflows end-to-end.
• Full-Stack Product Engineering: Design, implement, and ship features across the stack (frontend, backend, infrastructure).
• Enterprise Solutions: Collaborate with customers to tailor solutions for business processes.
• Platform Development: Strengthen core systems including AI and compute infrastructure, observability, and operations.
• Performance: Optimize production systems for speed and reliability of AI workflows.
• Cross-Functional Collaboration: Align with GTM to compile requirements and roadmaps.

Skills

Golang

TypeScript

React

Full-stack engineering

AI concepts

Job description

About Cara

Cara is a domain-specific AI platform purpose-built for insurance—a modular system that enables agencies, brokerages, and MGAs to automate servicing, accelerate sales, and scale operations with a 24/7 digital workforce.

We’re one of the fastest-growing AI companies in the insurance industry, attracting agencies and brokerages of all sizes with an expanding customer base. We’re a team of experts in engineering and insurance from Stripe, Blend, Strategy&, and Travelers, with backing from top-tier VCs, and are scaling our product and team quickly to meet market demand.

About the Role

As a Software Engineer at Cara, you’ll work across the stack to design and build the systems that power our AI platform—from intuitive user interfaces to backend services and AI infrastructure. You’ll develop product features, build tailored solutions for mid-market and enterprise clients, and strengthen our platform to ensure performance, reliability, and security. This is a hands‑on role with broad ownership, where you’ll collaborate closely with product, AI, and go‑to‑market teams to turn complex insurance workflows into simple, automated experiences. You’ll be working directly with the founders and customers to shape the roadmap, product, and technology.

What You’ll Do

• AI Agents & Workflows: Develop and refine autonomous digital workers that automate insurance workflows end-to-end.

• Full-Stack Product Engineering: Ideate, design, implement, and ship new features across the stack—from frontend user interfaces, to backend APIs and services, to critical infrastructure.

• Enterprise Solutions: Collaborate directly with customers to design and deliver solutions tailored to their business processes while integrating those features seamlessly into the broader platform.

• Platform Development: Strengthen our core systems, including AI and compute infrastructure, asynchronous processing, observability, and operations.

• Performance: Measure, optimize, and reinvent production systems to deliver best-in-class speed and performance for AI workflows.

• Cross-Functional Collaboration: Research cutting technologies and partner with the go-to-market team to break down customer requirements, prioritize and build product roadmaps, and deliver impactful solutions.

What You Have

• 3+ years of full-stack software engineering experience—designing and shipping features through the complete product lifecycle.

• Proficiency in Golang, Typescript, and React with a strong foundation in computer science and software development.

• Proficiency in AI concepts, APIs, workflows, and tools.

• Proven ability to learn, adapt, and ship impactful features in a fast-paced environment.

• Thrives in ambiguous environments to deliver robust, thoughtful solutions.