AI Engineer - LLMs and Generative AI

About the role

Huzzle connects talent with in-house positions at leading companies across the UK, US, Canada, Europe and Australia. This full-time, independent contractor role is an AI Engineer who designs, develops and deploys scalable AI and machine learning solutions, working with product, engineering and leadership teams on automation, analytics, conversational AI and predictive capabilities. The position suits someone interested in LLMs, machine learning infrastructure and real-world business problems.

Key responsibilities

• Design, develop and deploy AI/ML models for production environments.
• Build and optimise AI-powered applications using LLMs and generative AI tools.
• Develop intelligent automation workflows, chatbots, recommendation systems and predictive analytics solutions.
• Fine-tune, evaluate and improve machine learning models for performance and scalability.
• Collaborate with software engineers and product teams to integrate AI features into existing platforms.
• Work with structured and unstructured datasets for training and inference pipelines.
• Implement prompt engineering strategies and retrieval-augmented generation (RAG) systems.
• Monitor AI systems, troubleshoot issues and maintain documentation for models, systems and workflows.

Required profile

• 3+ years of experience in AI engineering, machine learning or related software engineering roles.
• Experience deploying machine learning models into production environments.
• Strong understanding of data structures, algorithms and software engineering best practices.
• Excellent problem-solving, analytical and communication skills; able to work remotely in a collaborative way.

Required skills

• Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn or LangChain.
• Hands-on experience with OpenAI APIs, LLMs, generative AI or NLP systems.
• Familiarity with vector databases, embeddings and RAG architectures.
• Cloud platforms such as AWS, Azure or Google Cloud Platform.
• Knowledge of Docker, Kubernetes, APIs and CI/CD pipelines is a plus.

What we offer

• Competitive salary based on experience and location.
• Fully remote role with a flexible work environment.
• Work on AI automation projects with real business impact.
• Growth opportunity into senior AI or systems roles.
• Exposure to LLMs, prompt engineering and scalable AI system design.