Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Huzzle.com

AI Engineer

Huzzle.com

AI Engineer developing and optimizing AI systems within leading companies. Collaborating with product and engineering teams to deliver AI-driven solutions in a fully remote role.

Posted 5/11/2026full-timeRemote • 🇲🇰 North MacedoniaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AWSAzureCloudDockerGoogle Cloud PlatformPythonPyTorchTensorflow

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 💰 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

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI EngineeringMachine LearningPythonTensorFlowPyTorchLangChainHugging FaceLarge Language Modelsprompt engineeringretrieval-augmented generation
Soft Skills
problem-solvinganalytical thinkingcommunicationcollaboration