Accountabilities

In this role, you will take ownership of backend engineering projects, delivering reliable and scalable solutions that address real customer needs. Your main responsibilities will include:

Build and develop the Agent Control Plane, enabling customers to deploy, operate, and manage their own fleets of AI agents.

Design, develop, and maintain Python backend services using frameworks such as FastAPI and Flask to support security detection, investigation, and AI-assisted resolution.

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

Design, model, and query large-scale security datasets using ClickHouse while ensuring strict tenant isolation.

Take end-to-end ownership of assigned projects, from understanding customer challenges and defining technical solutions to implementation and delivery.

Engage directly with customers to understand their requirements, address technical issues, and ensure successful outcomes.

Independently manage priorities and deliver high-impact engineering work while maintaining effective communication with the wider team.

Leverage AI agents and advanced language models to explore unfamiliar technologies, navigate existing codebases, and accelerate development.

Manage two major engineering projects simultaneously while contributing to smaller AI-driven initiatives.

Maintain high standards of code quality, testing, system reliability, and observability.

Requirements

The ideal candidate is an experienced Python engineer with strong backend development capabilities, a hands-on approach to AI-assisted software engineering, and the ability to work independently while remaining closely connected to customers and teammates. The following qualifications are expected:

At least 5 years of overall professional software engineering experience.

At least 5 years of hands-on experience developing and maintaining production-grade Python applications.

Daily, practical experience using AI agents and advanced AI models to build software.

Proven ability to use Large Language Models (LLMs) independently to learn unfamiliar technical concepts, navigate new codebases, and deliver working solutions.

Experience designing distributed systems and scalable backend services.

Strong understanding of API architecture, design principles, and data modelling.

High standards for software testing, correctness, reliability, and observability.

Demonstrated ability to own features and projects from initial customer requirements through implementation and problem resolution.

Strong customer-oriented mindset and willingness to communicate directly with customers.

Ability to identify urgent priorities, respond quickly, and focus on tasks with the greatest business impact.

Strong autonomy, decision-making, and organizational skills, with the ability to work independently without constant supervision.

Excellent communication and collaboration skills, including the ability to explain technical decisions and implementation approaches clearly.

Growth-oriented mindset, openness to constructive feedback, and willingness to revisit or improve existing solutions when necessary.

Strong sense of accountability, reliability, and attention to detail, with a proactive approach to communicating challenges and delivering commitments.

Ability to collaborate effectively with colleagues rather than working in isolation.

Availability to work remotely during UK business hours.

Ability to start as soon as possible.

Nice-to-have qualifications:

Experience developing backend applications with FastAPI or Flask.

Familiarity with ClickHouse or other columnar analytics databases.

Production experience with AI agent frameworks, LLM tool calling, Model Context Protocol (MCP), or Retrieval-Augmented Generation (RAG).

Experience building or maintaining multi-tenant Software-as-a-Service (SaaS) platforms.

Background in cybersecurity, detection engineering, or large-scale event processing.

Additional programming experience with C++ or TypeScript.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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