Tech Lead, Data & AI

Kinetic

1d • Remote

About The Position

Reporting to the VP of Engineering, this role will lead our Data team which is
responsible for developing and maintaining our production data lake and our
LLM-based AI solutions that serve as the foundation for Kinetic’s industry
leading workers compensation insurance products. You will be hands-on,
contributing directly to the design, development, and deployment of new data
integrations and Agentic AI solutions in a Python-focused and cloud-native
stack. You will also lead and manage a small team of engineers ensuring high
performance, working alongside a dedicated Product Manager. This role is
extremely cross-functional, and provides the opportunity for deep exposure to
and support of business units across the organization.

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.

Requirements

• Bachelor's degree in Computer Science or a related field and at least 5 years of relevant hands-on software engineering experience.
• At least 2 years experience leading projects and mentoring engineers, with the ability to manage and grow a small team.
• Deep experience building and operating Python-based data pipelines and production-grade cloud-native systems (CI/CD, monitoring, long-term maintainability).
• The working language at Kinetic is English.

Nice To Haves

• 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.

Responsibilities

• Own the architectural direction of Kinetic's data platform and AI products, operating as a player-coach who balances rapid experimentation with production reliability while contributing significant hands-on code.
• Design, develop, and implement robust, cloud-native data and AI solutions, writing clean, well-tested, and maintainable code in a team environment.
• Participate in architecture and code reviews to ensure high-quality, scalable systems, and implement best practices for security, reliability, and observability.
• Lead root-cause analysis of complex data and AI system issues, driving durable fixes and continuous improvement.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level