Staff Software Engineer, Full Stack

Job Description

Job Description

Gradient AI :

Gradient AI is a leading provider of AI solutions for the Group Health and P&C insurance industries. Our solutions improve loss ratios and profitability by predicting underwriting and claim risks with greater accuracy, as well as reducing quote turnaround times and claim expenses through intelligent automation. Gradient AI's SaaS platform leverages a vast industry data lake comprising tens of millions of policies and claims, providing insurers with high resolution, data-driven insights. Customers include some of the most recognized insurance carriers, MGAs, MGUs, TPAs, risk pools, PEOs, and large self-insured employers across all major lines of insurance. Founded in 2018, Gradient has experienced strong growth every year, and recently raised $56 million in Series C funding from top Insurtech investors.

About the Role :

At Gradient AI, you'll have the opportunity to work on cutting-edge technology in a collaborative environment with intelligent, friendly colleagues who value innovation and continuous learning. As a Full Stack Engineer , you will play a key role in bringing advanced Machine Learning models and their insights to life within client-facing applications. You'll work across the stack to design, build, and optimize scalable software solutions that turn complex analytics into actionable outcomes.

We're looking for experienced engineers who are passionate about technology, skilled in Python, and eager to dive into the intersection of software engineering and machine learning. If you're a life-long learner with strong analytical skills and a drive to solve meaningful problems with modern tools, you'll thrive here.

This is a fully remote role.

How you will make an impact :

• Collaborate with our product team to build new applications and SaaS products.
• Participate in high-level design decisions and execute on them.
• Work closely with our data science and data engineering teams to build robust data pipelines and workflows.
• Interface with our project team to build integrations with clients.
• Leverage data infrastructure to deliver high impact, user-friendly, client-facing business intelligence and analytics.

Skills needed to succeed :

What We Offer :

We are an equal opportunity employer.