Senior Backend Engineer (Python)

If you’re ready for the next big step in your software development career – read on.

xpander.ai is a full-stack platform for building and running AI Agents. We are growing and are looking for a key member of the team for our core engineering team.

This is not just another backend role

We are one of the only companies in the world that are building a full-stack AI agent infrastructure solution. This is your chance to design, own, and scale the infrastructure that powers AI Agents used in every aspect of every industry on earth. We’re looking for someone who thrives on solving hard problems, building systems that last, and knows how to think strategically.

The Role

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.

Responsibilities:

• 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, micro-services, 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.

Qualifications

• Minimum of 5 years in software engineering.
• At least 2 years specifically in Python.
• Proven knowledge in building and maintaining web applications and/or APIs.
• Experience in designing and developing APIs.
• Experience in architecting software systems from the ground up.
• Nice-to-have: Hands-on experience with AWS for architecting and deploying applications.
• Nice-to-have: Experience in CI/CD, containerization, and orchestration.

Ideal Candidate

• Languages: High proficiency in Python.
• DevOps Practices: Experience with CI/CD, containerization (Docker), and orchestration (Kubernetes).
• Database Management: Experience with relational (Postgres) and non-relational databases (MongoDB, Redis).
• Performance Optimization: Understanding of strategies to analyze and improve system performance.
• Experience with building and running AI Agents.