AI Engineer - Remote
Huzzle Open · verified Oct 22, 2026 At a glance
Mid-level AI Engineering role at Huzzle. Remote, South Africa · full-time.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Create and ship machine-learning models and AI applications for real-world use
- Build AI tools with OpenAI, Claude, Gemini or open-source LLMs, and tune models to improve results
- Write backend services and APIs, then connect AI features to web platforms, CRMs and business systems
- Shape prompts and RAG workflows, and watch deployed models for dependable performance at scale
- Coordinate with product, engineering and data teams on AI requirements and technical roadmaps
What you bring
- At least three years in AI engineering, machine learning or software engineering
- Strong Python skills and experience with TensorFlow, PyTorch, LangChain, Hugging Face or another listed framework
- Practical experience with LLMs, generative AI and prompt engineering
- You have built REST APIs and backend services designed to scale
Who this fits
This role suits an engineer interested in production AI systems, LLMs and machine-learning infrastructure. It is a full-time independent-contractor position, performed remotely from South Africa.
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
We are looking for a highly skilled AI Engineer to design, build, and deploy AI-driven applications and machine learning solutions. You’ll work closely with product, engineering, and data teams to create intelligent systems that improve automation, customer engagement, and operational efficiency.
This role is ideal for someone passionate about artificial intelligence, large language models (LLMs), machine learning infrastructure, and production-grade AI systems.
Key Responsibilities
- Design, develop, and deploy AI and machine learning models for real-world applications.
- Build and optimize AI-powered tools using technologies such as OpenAI, Claude, Gemini, or open-source LLMs.
- Develop scalable APIs and backend services for AI applications.
- Fine-tune machine learning models and improve model performance.
- Work with structured and unstructured datasets for training and inference.
- Implement prompt engineering strategies and retrieval-augmented generation (RAG) pipelines.
- Integrate AI solutions into web platforms, CRMs, and business systems.
- Monitor AI model performance, reliability, and scalability in production.
- Collaborate with cross-functional teams to define AI product requirements and technical roadmaps.
- Stay updated on emerging AI technologies, frameworks, and best practices.
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, generative AI tools, and prompt engineering.
- Familiarity with vector databases, embeddings, and RAG architectures.
- Knowledge of cloud platforms such as AWS, GCP, or Azure.
- Experience building REST APIs and scalable backend systems.
- Understanding of MLOps, model deployment, and monitoring workflows.
- Strong problem-solving and analytical thinking skills.
- Excellent communication and collaboration abilities.
- Experience working in remote or distributed teams is a plus.
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