AI Network Automation Engineer

Our client is looking for a pragmatic Network Automation Engineer to work at the point where core infrastructure meets artificial intelligence. This is not a research position. They want a hands-on Network Engineer who has transitioned into automation and uses AI coding tools to build faster and smarter.

You will work with modern AI tooling such as Git Hub Copilot and Cursor every day, building real automation rather than theory. This is a 6 month contract with long-term extensions available, giving you stability as well as variety. The role is fully remote within UK only.

If you enjoy using AI to speed up Python development across a multi-vendor network and security estate, and you want a role that values pragmatism over perfection, this one is worth a conversation.

• Develop Python scripts that automate network and security workflows across a multi-vendor enterprise environment
• Use AI coding assistants and LLMs to accelerate development and keep delivery cycles fast
• Build and maintain REST API integrations with network and security platforms
• Apply LLM and RAG concepts and effective prompting to technical and code-generation tasks
• Review and refine AI-generated code so it is reliable and ready for production
• Work across vendors including Cisco, Arista, Aruba, Palo Alto and F5
• Collaborate with cross-functional engineering teams in a multicultural, global setting
• Contribute to version control, deployment pipelines and infrastructure-as-code for network environments

• Solid Python skills, including OOP, REST API integrations and automation libraries for infrastructure
• Hands-on experience with AI coding assistants (Git Hub Copilot, Cursor or similar)
• Working knowledge of LLMs, RAG and prompting for code generation
• Ability to read and understand Python code
• Core networking and security knowledge across major enterprise vendors (Cisco, Arista, Aruba, Palo Alto, F5)
• Fluent English, spoken and written (C1 preferred)
• A pragmatic problem-solving mindset, focused on fast resolution and continuous iteration
• Roughly a balanced 6/10 across network, development and AI (not an expert role)

• Agile experience (Scrum or Kanban)
• Git, CI/CD pipelines and infrastructure-as-code applied to networks