AI Engineer (Automation & LLM Systems)

About the role

Huzzle places candidates directly with its clients, who hire them in-house. Its client is a fast-growing automation company helping small and medium-sized businesses streamline operations with AI solutions, including LLM-powered automation and workflow tools. The role is full-time and fully remote, focused on designing, building and deploying AI-powered automation workflows for real business use cases, using tools such as n8n, Go High Level and LLM APIs.

Key responsibilities

• Build and deploy AI automation workflows using tools such as n8n, Zapier and Go High Level
• Integrate and optimise LLM APIs (OpenAI, Claude, etc.) for business use cases
• Deliver functional automation systems quickly for client requirements
• Design and improve internal AI infrastructure to reduce reliance on third-party tools
• Debug, test and refine workflows for performance and reliability
• Work with an operations/project manager to gather requirements and iterate on solutions
• Explore new AI tools and frameworks to improve system capabilities

Required profile

• Proven experience working with LLMs and AI APIs (e.g. OpenAI, Claude)
• Strong understanding of automation tools such as n8n, Zapier, Go High Level or similar platforms
• Ability to balance rapid implementation with long-term system scalability
• Solid problem-solving skills and experience debugging workflows and integrations
• Clear and professional English communication skills

Required skills

• LLMs and AI APIs (OpenAI, Claude)
• Automation tools: n8n, Zapier, Go High Level
• Connecting APIs, webhooks and third-party tools
• Bonus: Python, backend systems or custom AI pipelines (e.g. RAG systems)

What we offer

• Competitive salary based on experience and location
• Fully remote role with a flexible work environment
• Work on AI automation projects with real business impact
• Growth opportunity into senior AI and systems roles
• Exposure to LLMs, prompt engineering and scalable AI system design