Software Engineer, Data & AI

Company: Kinetic Plc

Location: Remote (Remote)

Salary: $140,000 - $180,000 a year

Type: Full-time

Remote: Yes

Posted: 2026-05-14

About this role

Software Engineer, Data & AI

Remote

Engineering

Remote

Full-time

At Kinetic, a single, powerful mission unites us: Creating the best Workers’ Comp experience. Our culture is the engine that drives this mission forward—a culture built on togetherness, excellence, accountability, and a deep commitment to our customers.

About Kinetic

Backed by Nationwide, we’re transforming workers’ comp with technology-driven solutions for injury prediction, prevention, and management—helping employers create safer, healthier workplaces. We also work directly with enterprise clients.


Our platform is built for labor intensive industries including parcel delivery, manufacturing, and wholesale/warehousing operations. From wearable tech that reduces strain and sprain injuries by over 60% to a tech-driven program that speeds up return-to-work and generative AI for claims management, we're redefining what workers' comp can do.


We’re a remote-first team headquartered in New York City, growing fast—10x in the past two years—and driven by accountability, continuous improvement, and collaboration. If you're excited to build a career with impact, we’d love to meet you.


Kinetic has been named to: Business Insurance's Best Place to Work in Insurance 2025


The Role

As a Software Engineer on our team, you’ll be a versatile contributor working across a wide range of projects and technologies in service of Kinetic’s mission. You’ll collaborate with cross-functional teams to design, build, and maintain our data ecosystem including ETL pipelines, data lakes, autonomous AI agents, and other LLM-based applications. The role provides broad exposure to data-intensive applications across the company.

We’re looking for someone who enjoys tackling complex, real-world challenges, thrives in a fast-paced environment, and is eager to learn and adapt as technologies evolve. You’ll contribute to everything from core infrastructure to experimental features, helping...

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