Software Engineer, Data & AI

Kinetic

6d•Remote

About The Position

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.

Requirements

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.

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

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.