Remote AI Engineer
Huzzle Open · verified Oct 22, 2026 At a glance
Mid-level AI Engineering role at Huzzle. Remote, North Macedonia · full-time.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and launch AI and machine-learning solutions for practical business use
- Create LLM-based applications, including chatbots, copilots and automated workflows
- Adapt and assess models, then improve their performance and ability to scale
- Connect AI systems to APIs, databases, CRMs and external platforms
- Track production reliability, performance and cost, while maintaining tests and deployment documentation
What you bring
- At least three years in AI engineering, machine learning or software engineering
- Strong Python skills and practical use of AI/ML frameworks such as TensorFlow, PyTorch or another listed framework
- Hands-on work with LLMs and platforms such as OpenAI APIs, Anthropic or another listed platform
- Experience launching AI applications on AWS, GCP or another listed cloud platform
Who this fits
This role suits a mid-level engineer comfortable building and operating AI applications, including LLM, RAG and model optimization work. It is a full-time independent-contractor role, remote from North Macedonia, with collaboration across remote product and engineering teams.
From the employer
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
Job Summary
As an AI Engineer, you will be responsible for developing and optimizing AI systems, integrating machine learning models into production environments, and building scalable AI-driven applications. You will contribute to everything from model experimentation to deployment and performance optimization.
Key Responsibilities
- Design, build, and deploy AI and machine learning solutions for real-world business applications.
- Develop and maintain applications using Large Language Models (LLMs) such as GPT-based systems.
- Build AI-powered automations, copilots, chatbots, and workflow systems.
- Fine-tune, evaluate, and optimize machine learning models for performance and scalability.
- Integrate AI systems with APIs, databases, CRMs, and third-party platforms.
- Collaborate with product and engineering teams to translate business requirements into AI-driven solutions.
- Implement prompt engineering strategies and retrieval-augmented generation (RAG) systems.
- Monitor model performance, reliability, and cost efficiency in production environments.
- Maintain documentation, testing procedures, and deployment workflows.
- Stay updated on the latest AI trends, frameworks, and emerging technologies.
Requirements
- 3+ years of experience in AI Engineering, Machine Learning, or Software Engineering.
- Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or Hugging Face.
- Experience working with LLMs, OpenAI APIs, Anthropic, Gemini, or similar AI platforms.
- Familiarity with vector databases, embeddings, and RAG architectures.
- Experience deploying AI applications using cloud platforms such as AWS, GCP, or Azure.
- Strong understanding of APIs, backend systems, and scalable application architecture.
- Experience with Docker, Git, CI/CD pipelines, and modern development practices.
- Excellent problem-solving and analytical thinking skills.
- Strong communication skills with the ability to work in remote, cross-functional teams.
- Bonus: Experience building AI agents, automation systems, or voice AI applications.
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