As a Software Engineer, you'll design and implement scalable data and AI solutions, participate in code reviews, troubleshoot issues, and collaborate across teams.
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 deliver high-impact solutions that reduce workplace injuries and improve operational outcomes for our customers. A strong engineering foundation, curiosity, and a collaborative mindset are key to success in this role.
Responsibilities:
- Design, develop, and implement robust, scalable, and cloud-native data and AI solutions that directly contribute to Kinetic’s mission.
- Write clean, efficient, well-tested, and maintainable code in a team environment.
- Participate in architecture and code reviews to ensure consistent quality, performance, reliability, and scalability of software systems.
- Implement security, reliability, and observability best practices in software design and development.
- Proactively identify opportunities for improvement in existing systems and processes.
- Troubleshoot and resolve complex technical issues, emphasizing root cause analysis and post-mortem documentation.
- Contribute to projects across the stack—including backend services, internal tools, and AI-powered features—as priorities evolve.
Basic Qualifications:
- Bachelor's degree in Computer Science or a related field and at least 3 years of relevant software engineering experience.
- Back-end development experience in a modern tech stack that includes Python in a cloud environment.
- Experience delivering software from concept through production, including CI/CD, monitoring, and operational support.
- Proven track-record of building and operating large-scale cloud solutions in production while managing technical debt effectively.
- The working language at Kinetic is English.
Preferred Qualifications:
- Experience developing and deploying AI features in production software, especially those leveraging LLMs or agentic AI patterns.
- Experience with AWS, Apache Airflow, and Terraform.
- Strong testing and documentation practices.
- Experience with production security practices in the cloud including building systems that meet enterprise security standards and industry best practices.
- Experience operating in early-stage or high-growth startup environments where pragmatism and speed matter.
- This is a remote position (candidate must be a full time U.S. resident)
- Salary Range: $140,000 - 180,000 per year
- Equity Grant
- Medical, dental, and vision insurance
- 20 vacation days per year
- 9 federal holidays off
- Parental Leave
- Pre-tax 401k contribution
- HSA with compatible health plans
- FREE: Health Advocate
- FREE: Telehealth Membership
- FREE: OneMedical Account
Top Skills
Apache Airflow
AWS
Python
Terraform
Similar Jobs
Marketing Tech
The Senior Data & AI Engineer will design, build, and deliver data-driven features, leveraging AI to improve user experiences, while collaborating with stakeholders and ensuring high-quality data solutions.
Top Skills:
AirflowAWSAzureDagsterGCPHuggingfaceLangchainPythonSQL
Software
The Senior Software Engineer will develop AI-powered workflows and internal tools, ensuring integration with sales and operational systems, while collaborating with various teams to enhance efficiency and automation.
Top Skills:
Anthropic McpAws LambdaBigQueryCloud RunCrewaiGcp Cloud FunctionsHubspotJavaScriptLangchainLlm ApisMicroservicesN8NNode.jsPrefectPythonSalesforceSlackSQLZapier
.png)
Cloud • Information Technology • Software
As a Full Stack Software Engineer, you'll design backend services for AI capabilities, manage data flows, and collaborate on user-facing experiences across the stack.
Top Skills:
AWSAzureContainersGCPGoJavaKubernetesPython
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
