Huzzle
AI
RemoteAIEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Remote AI Engineer at Huzzle. Skills: AI Engineering, Machine Learning, LLMs, Python. Develop and optimize AI systems. Integrate machine learning models”
What You'll Achieve.
real-world business applications; performance and scalability; cost efficiency in production environments; real business impact
Industry & Context.
problem-solving; analytical thinking
What They're Looking For.
Must Have
3+ years of experience in AI Engineering, Machine Learning, or Software Engineering, 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, 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, communication skills with the ability to work in remote, cross-functional teams
Nice to Have
Experience building AI agents, automation systems, or voice AI applications
What You'll Do.
Develop and optimize AI systems
Integrate machine learning models
Build scalable AI-driven applications
deploy AI/ML solutions
Develop and maintain LLM applications
Build AI-powered automations
Integrate AI systems with platforms
Implement prompt engineering strategies
Monitor model performance
Maintain documentation
Stay updated on AI trends
How You'll Work.
Team & Collaboration
Collaborate with product and engineering teams; work in remote, cross-functional teams; Direct collaboration with a fast-moving, high-performance team
Communication Scope
communication skills
Full Job Description
### 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. *
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