Remote AI Engineer
Huzzle Open · verified Oct 24, 2026 At a glance
Mid-level AI Engineering role at Huzzle. Remote, North Macedonia · full-time.
Pay not stated AI Engineer salary
remoteroles summary, based on the employer's posting.
What you'll do
- Build and launch machine-learning solutions for practical business needs
- Create LLM-based applications, including chatbots, copilots, automations and workflow tools
- Tune models and add prompt strategies or RAG to improve system performance
- Connect AI services to APIs, databases, CRMs and external platforms
- Track live model reliability, performance and cost, while maintaining tests and deployment documentation
What you bring
- At least three years working in AI engineering, machine learning or software engineering
- Strong Python skills and hands-on work with AI frameworks such as TensorFlow, PyTorch or another listed framework
- Experience using LLMs and familiarity with vector stores, embeddings and retrieval-augmented generation
- Experience deploying AI applications in a cloud environment, with backend, API and scalable architecture knowledge
Who this fits
This role suits a mid-level engineer who can carry AI work from experimentation through production and collaborate with product and engineering colleagues. It is a full-time remote independent-contractor engagement, based remotely in North Macedonia.
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
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