AI Engineer (Automation & LLM Systems)
About Huzzle
At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI.
Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team.
Role Type: Full-time
Engagement: Independent Contractor
About the Company
Our client is a fast-growing automation-focused company helping small and medium-sized businesses streamline operations using cutting-edge AI solutions. They specialize in deploying practical, results-driven automation systems powered by LLMs and workflow tools, while also building scalable internal infrastructure for long-term efficiency.
Job Summary
We’re hiring an AI Engineer to design, build, and deploy AI-powered automation workflows for real-world business use cases.
This is a hands-on, execution-focused role where you’ll rapidly implement solutions using tools like n8n, Go High Level, and LLM APIs—while also contributing to the development of more scalable, in-house AI systems over time.
If you’re looking for a remote AI engineering job that blends prompt engineering, automation, and system design, this role offers strong growth potential and meaningful impact.
Key Responsibilities
- Build and deploy AI automation workflows using tools like n8n, Zapier, and Go High Level
- Integrate and optimize LLM APIs (OpenAI, Claude, etc.) for business use cases
- Quickly deliver functional automation systems 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
- Collaborate with an operations/project manager to gather requirements and iterate on solutions
- Continuously explore new AI tools and frameworks to improve system capabilities
Requirements
- 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 with experience debugging workflows and integrations
- Experience connecting APIs, webhooks, and third-party tools
- Clear and professional English communication skills
- Bonus: Experience with Python, backend systems, or building custom AI pipelines (e.g., RAG systems)
Benefits
💰 Competitive salary based on experience and location
🌎 Fully remote role with flexible work environment
🚀 Work on cutting-edge AI automation projects with real business impact
📈 Strong growth opportunity into senior AI / systems roles
🧠 Exposure to LLMs, prompt engineering, and scalable AI system design
🤝 Direct collaboration with a fast-moving, high-performance team
Skills
As published by workable · 14 questions · 3 written answers
Basics
First name, Last name, Email, Phone, Address, Photo, Education, Experience, Resume, Cover letter
Short answers (4)
- What language(s) are you business proficient in?
- What are your monthly salary expectations in USD?
- What were you making in your previous role as a monthly salary? Mention your base and any commissions separately (if applicable).
- If you have a LinkedIn profile, please provide the URL below (if you don't have a LinkedIn profile, put N/A)
Pick from a list (7)
- What is your level of proficiency in English?
- Which of the following timezones are you able to work in?
- Have you worked directly with LLM APIs (e.g., OpenAI, Claude) to build or integrate AI-powered features or automations?
- Do you have hands-on experience building and deploying AI workflows using tools like n8n, Zapier, or Go High Level?
- Are you comfortable debugging, optimizing, and scaling automation workflows across multiple systems and APIs?
- What type of company do you prefer to work for?
- How did you hear about this opportunity? (Please note, this has no impact on your application)
Written answers (3)
- Can you list all of the tools, software and platforms that you have used in your previous roles?
- Which industries have you worked in your roles? (e.g., AI, Tech, SaaS, Marketing etc)
- Have you ever worked with clients or companies based outside of your home country (e.g., U.S., U.K., or other countries)? If yes, please specify the countries)?