Senior Backend Engineer
Listed on 2026-10-27
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Software Development
Backend Developer, AI Engineer (Applied/Software), Full Stack Developer, Cloud Engineer - Software
If you’re ready for the next big step in your software development career, read on.
About xpanderxpander.ai is a full-stack platform for building and running AI agents. We’re growing and looking for a key member of our core engineering team.
About the roleWe are one of the only companies in the world building full-stack AI agent infrastructure. This is your chance to design, own, and scale the infrastructure that powers AI agents across every industry. We’re looking for someone who thrives on solving hard problems, builds systems that last, and thinks strategically.
In this role, you’ll focus on building robust, scalable, and efficient backend solutions that enable developers to create production-grade AI agents. You will design and optimize the platform’s architecture, implement new features, and ensure seamless integration with APIs, making it easier to build reliable and capable AI agents for any use case. This is a hands-on role that combines backend engineering with shaping the future of AI-driven development, involving both research and navigating ambiguity.
Whatyou will do
Design, develop, and maintain the core backend architecture of our AI-driven platform
Take ownership of end-to-end development processes, from design to deployment. Yes, this means
brand new pillars in the platform
Build and deploy scalable APIs, microservices, and systems that enable seamless AI agent workflows
Research and integrate advanced technologies to improve system scalability and reliability
Ensure code quality through testing, code reviews, and best practices
What we’re looking forMinimum of 5 years in software engineering
At least 2 years of hands-on Python, with high proficiency
Proven experience designing, building, and maintaining web applications and APIs
Experience architecting software systems from the ground up
Experience with relational (PostgreSQL) and non-relational databases (MongoDB, Redis)
Understanding of strategies to analyze and improve system performance
Experience building and running AI agents
Nice-to-haveHands-on experience with AWS for architecting and deploying applications
Experience with CI/CD, containerization (Docker), and orchestration (Kubernetes)
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