This is a fully remote opportunity.
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:
As a Staff Software Engineer, you will play a key role in designing and building scalable, high-performance applications. You will collaborate with cross-functional teams to develop secure and reliable solutions, improve system architecture, and enhance automation processes. This is an opportunity to work with innovative technology in a dynamic environment, contributing to impactful solutions that drive business success.
How will you make an impact:
- Evolve a rapidly growing predictive analytics application into an enterprise-grade solution by designing for high availability/uptime, scalability, and maintainability.
- Develop our internal and external APIs to enhance security measures and facilitate data accessibility.
- Evangelize and implement best practices regarding automated testing and streamlining deployments.
- Provide coaching, mentoring, and technical leadership to peer engineers.
- Build alignment with product and business stakeholders to develop integrated product roadmaps.
- Work closely with our data science and data engineering teams to design and develop robust ML Ops pipelines.
Skills needed to succeed:
- 7+ years of professional software engineering experience.
- Proven ability to design, implement, and maintain resilient, high availability, highly scalable enterprise services/applications.
- Ability to work cross-functionally with product management or other stakeholders to translate business requirements into technical requirements.
- Experience with Python (or similar scripting language), SQL, Bash Scripting, and Git; understanding of containerization (Docker, Kubernetes) is a bonus.
- Experience with CI/CD, SQL databases, RESTful API design, service-oriented architectures, and automated testing.
- Experience or interest in working in an Agile environment.
- Exposure with AWS tools or similar cloud tools.
- Exposure to Databricks or other MLOps tools is a nice to have.
What We Offer:
- A fun, team-oriented startup culture.
- Generous stock options - we all get to own a piece of what we’re building.
- Unlimited vacation days.
- Flexible schedule that supports working from home.
- Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more.
- Ample opportunities to learn and take on new responsibilities.
We are an equal opportunity employer.
Similar Jobs
What We Do
Gradient AI is revolutionizing Group Health and P&C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability, and automate underwriting and claims. Our SaaS platform taps into one of the industry’s largest data lakes—tens of millions of policies and claims—to deliver deep, actionable insights.
Trusted by leading carriers, MGAs, TPAs, and self-insured employers, Gradient AI has grown rapidly since our founding in 2018. Backed by $56M in Series C funding, we're scaling fast—and it's an exciting time to join the team.
Why Work With Us
Gradient is a fast-growing startup where you can make an impact, learn constantly, and grow quickly. We’re bringing AI and machine learning into the insurance space in new ways, and every team member plays a role in that innovation.
Gallery
Gradient AI Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Working from the office is optional if you are local to our Boston office. For employees who do come in, it’s usually T/W/Th to focus on group collaboration.
