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

About the company the company

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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.

• 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 the company 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.