AI Engineer

Staff/Principal Engineer

At Nextlane, we don't just develop software solutions – we create the future of the automotive industry. We are a company that combines advanced technology with a clear vision: simplifying and digitizing every step of the automotive customer journey, empowering manufacturers and dealerships to thrive in a constantly evolving market.

We believe in the value of every team member, offering opportunities for you to develop and contribute to meaningful solutions.

Our success is measured not just by results, but also by the growth and satisfaction of those who are part of our company. At Nextlane, you'll have the opportunity to innovate, push boundaries, and work on solutions that are transforming the automotive world.

As a Staff/Principal Engineer, you will serve as a technical leader, driving the architecture, design, and implementation of both backend and frontend systems for our applications. Your mastery of C#,.NET Core, database technologies, React, Type Script, and JavaScript will be pivotal in delivering scalable, secure, and performant solutions across the stack. You will lead cross-functional engineering teams, collaborating closely with product, Dev Ops, and design to deliver innovative APIs and user interfaces.

A key focus of this role is the strategic integration and configuration of advanced AI agents, including agentic approaches, to accelerate development workflows and enhance engineering productivity. You will set technical direction, champion best practices, and foster continuous improvement in development processes while mentoring engineers and promoting a culture of innovation.

A strong emphasis is placed on automated testing. You must have hands-on experience with unit testing, integration testing, and end-to-end testing using tools such as Newman, Playwright, Cypress, or similar frameworks.

Your Responsibilities:

Development

• Lead the architectural design and development of backend and frontend systems, ensuring scalability, reliability, and security across cloud-based environments.
• Drive the integration and utilization of AI agents for development, engineering, and operational use cases, leveraging agentic methodologies to optimize workflows.
• Collaborate with cross-functional teams—including engineering, Dev Ops, product, and design—to deliver robust APIs, services, and user interfaces.
• Establish and enforce best coding and testing practices, including automated unit, integration, and end-to-end testing using frameworks such as Newman, Playwright, Cypress, and others.
• Mentor and guide engineers, providing technical leadership and fostering skill development across backend and frontend domains.
• Champion process improvement, technical innovation, and the adoption of emerging technologies throughout the engineering organization.
• Apply SOLID principles and design clean, maintainable software architectures (e.g. Hexagonal, Onion, Clean Architecture).
• Design, implement, and maintain unit, integration, and performance/load tests.
• Conduct code reviews and provide constructive feedback to ensure high-quality standards.
• Apply domain-driven design (DDD) principles to model complex business domains.

Dev Ops and Cloud

• Containerize backend services using Docker.
• Work with CI/CD pipelines to automate build and deployment processes.
• Monitor system health and performance using logging, metrics, and tracing; diagnose issues and drive continuous improvements.
• Ensure security best practices are followed in backend implementations.
• Contribute to the design and operation of highly available, scalable distributed systems supporting high concurrency workloads.
• Broad experience working in cloud environments such as Azure, AWS, or Google Cloud Platform (GCP).

What We're Looking For:

Extensive experience designing, developing, and maintaining backend systems using C#,.NET Core, and modern database technologies.

Deep expertise in frontend development with React, Type Script, and JavaScript, including building high-performance, scalable UI components and applications.

Demonstrated ability to configure, integrate, and leverage AI agents and agentic approaches within engineering teams and development…