Sr. Software Engineer, AI Tools (MXC)

Join a fast-growing technology organization dedicated to helping businesses protect their people, operations, and assets through innovative risk intelligence and response solutions. In this role, you will help accelerate an AI-first engineering model by designing and building intelligent tools that transform how software is developed. You will create AI agents, reusable workflows, and engineering automations that support everything from implementation and testing to code reviews and continuous integration. Working closely with engineering teams, you will improve developer productivity by simplifying local environments, shortening feedback loops, and eliminating repetitive tasks. This hands-on position offers the opportunity to influence engineering practices across the organization while experimenting with emerging AI technologies. It is ideal for an experienced software engineer who embraces AI-native development, values practical innovation, and enjoys building tools that help other engineers work more effectively.

• Software engineering experience: Approximately 6–8 years of hands-on software engineering and coding experience, with strong fundamentals and a track record of building reliable, maintainable systems.

• AI-assisted development expertise: Daily practical experience with modern AI coding tools such as Claude, Codex, Cursor, ChatGPT, Gemini, or comparable solutions, with AI playing an integral role in your development workflow.

• AI tooling development: Demonstrated experience extending AI tools beyond standard usage, including building custom agents, reusable skills, prompt systems, Model Context Protocol (MCP) servers, or AI-driven engineering automations.

• Agent orchestration: Hands-on experience designing, building, or improving agentic workflows that coordinate AI-driven tasks and contribute meaningfully to software engineering processes.

• Backend engineering proficiency: Strong backend development experience and proficiency in at least one backend-oriented programming language. Python is preferred, while JavaScript and TypeScript are also considered. Candidates should be comfortable contributing across the full stack when needed.

• Internal developer tools: Experience designing and building systems, platforms, or tools that other engineers rely on in their daily work.

• Development infrastructure: Practical experience with Docker, local development environments, continuous integration systems, and automated testing, including identifying and resolving test performance bottlenecks.

• Cloud and database expertise: Professional experience with Amazon Web Services (AWS) and PostgreSQL is required.

• Problem-solving and innovation: Ability to identify underlying problems, challenge inefficient workflows, and develop pragmatic solutions that produce measurable improvements.

• Collaboration and communication: Excellent written and verbal English skills, with the ability to communicate clearly, work across teams, incorporate diverse feedback, and collaborate effectively in a fast-paced environment.

• Adaptability and curiosity: A proactive approach to learning, experimenting with emerging AI technologies, and continuously improving engineering practices.

• Work authorization: Must currently reside in Mexico and have the legal right to work in the country without requiring employer sponsorship now or in the future.