[Hiring] Python Backend Engineer @Smart Working Solutions

Role Description

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.

Qualifications

• 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.
• Experience in system design for distributed services.
• Strong understanding of API design and data modelling.
• High standards for software testing, correctness and observability.
• Ability to take complete ownership of features and projects, from understanding customer requirements to resolving customer problems.
• Strong customer focus, with a willingness to communicate directly with customers rather than simply completing assigned tickets.
• Ability to identify urgent priorities, respond quickly and focus on delivering work with the greatest impact.
• Ability to work autonomously, set priorities and make decisions without constant supervision while maintaining effective communication and collaboration.
• A growth mindset, with openness to constructive criticism, willingness to discard or rework code and projects when necessary, and commitment to improving the wider team.
• A trustworthy and accountable approach, demonstrating honesty, attention to detail, early communication of problems and consistent delivery.
• Ability to work effectively with colleagues rather than in isolation.
• Ability to clearly explain technical decisions, implementation approaches and solutions.
• Willingness to own projects end to end.
• Availability to work remotely during UK working hours.
• Ability to join as soon as possible.

Nice to Have

• Experience with FastAPI or Flask.
• Experience with ClickHouse or other columnar analytics databases.
• Production experience with agent harnesses, LLM tool use, Model Context Protocol (MCP) or Retrieval-Augmented Generation (RAG).
• Experience developing or maintaining multi-tenant SaaS platforms.
• Experience in cybersecurity, detection engineering or large-scale event processing.
• Some experience with C++ or TypeScript.