Remote AI Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 11h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 127d ago
The date the source published, not the day we noticed it (2026-05-11). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
North Macedonia, Georgia, Serbia, Croatia, Slovenia, Bosnia and Herzegovina
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $188.1k–248.6k/yr
Middle 50% of 14 listings that do state pay — Engineering · all levels · Georgia · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 11d ago · last seen just now
The listing
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