Backend Software Engineer

About xpander.ai

xpander.ai is a platform for running and building stateful AI Agents. The platform handles AI tool calling, user sessions (user threads), user-authentication, and long-running multi-step AI actions using xpander’s AI state machine across any AI Framework and LLM vendo

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.
• Build and deploy scalable APIs, micro-services, and systems that enable seamless AI Agent workflows.
• Implement new platform features and capabilities, driving innovation and enhancing performance.
• 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 3 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.
• Full-Stack Development: Skilled in using frameworks and libraries such as FastAPI, Flask, Django, React, Angular, Node.js.
• DevOps Practices: Experience with CI/CD, containerization (Docker), and orchestration (Kubernetes).
• Database Management: Experience with relational and non-relational databases (MongoDB, DynamoDB).
• Security and Compliance: Knowledge of security best practices and compliance requirements.
• Performance Optimization: Understanding of strategies to analyze and improve system performance.