Python Backend Engineer (Remote, Full - Time) [AS347]

About the role

About Smart Working

At Smart Working, we believe your job should not only look right on paper but also feel right every day. This isn’t just another remote opportunity - it’s about finding where you truly belong, no matter where you are. From day one, you’re welcomed into a genuine community that values your growth and well-being.

Our mission is simple: to break down geographic barriers and connect skilled professionals with outstanding global teams and products for full-time, long-term roles. We help you discover meaningful work with teams that invest in your success, where you’re empowered to grow personally and professionally.

Join one of the highest-rated workplaces on Glassdoor and experience what it means to thrive in a truly remote-first world.

About the Role

As a Backend Engineer (Python), you will contribute to building an AI-native cybersecurity platform, helping customers operate and manage their own fleets of AI agents. You will develop backend systems supporting security detection, investigation and AI-assisted resolution.

You will join a team of 14+ engineers across Backend, DevOps, Endpoint, Frontend and Design, reporting to the VP of Engineering and AI. The team follows a flat structure and a single-owner model, with one engineer per discipline per project.

This role is suited to an autonomous, customer-focused engineer who takes end-to-end ownership, collaborates effectively and uses AI to deliver high-impact solutions.

Responsibilities - Build the Agent Control Plane, enabling customers to run and manage their own fleet of AI agents.

- Design, develop and deliver Python services using FastAPI and Flask for security detection, investigation and AI-assisted resolution.

- Build the AI agent layer, including tool calling, Model Context Protocol (MCP) integrations and human approval mechanisms before actions are performed on live systems.

- Model and query large security datasets using ClickHouse, ensuring strict tenant isolation.

- Take end-to-end ownership of assigned projects, from understanding customer problems through to delivering solutions.

- Engage directly with customers to understand their requirements and ensure their problems are resolved.

- Independently manage priorities and deliver high-impact work while maintaining continuous communication and collaboration with the team.

- Use AI agents and frontier models to learn unfamiliar technologies, navigate unfamiliar codebases and manage multiple projects.

- Manage two major projects alongside smaller AI-driven tasks.

Requirements - Minimum 5 years of overall software engineering experience.

- Minimum 5 years of hands-on production Python development experience.

- Daily, hands-on experience using AI agents and frontier AI models to build software.

- Demonstrated ability to use LLMs independently to learn unfamiliar technical areas, work across unfamiliar codebases and deliver software solutions.