AI Engineer

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, develop, and deploy scalable AI and machine learning solutions. You’ll work closely with product, engineering, and leadership teams to build intelligent systems that power automation, analytics, conversational AI, and predictive capabilities.

This role is ideal for someone passionate about artificial intelligence, large language models (LLMs), machine learning infrastructure, and solving real-world business challenges with cutting-edge technology.

Key Responsibilities

• Design, develop, and deploy AI/ML models for production environments.
• Build and optimize AI-powered applications using large language models (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 continuously improve model accuracy and efficiency.
• Stay updated with the latest advancements in AI, machine learning, and automation technologies.
• Maintain documentation for AI models, systems, and workflows.

Requirements

• 3+ years of experience in AI engineering, machine learning, or related software engineering roles.
• Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or LangChain.
• Hands-on experience working with OpenAI APIs, LLMs, generative AI, or NLP systems.
• Experience deploying machine learning models into production environments.
• Familiarity with vector databases, embeddings, and RAG architectures.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Knowledge of Docker, Kubernetes, APIs, and CI/CD pipelines is a plus.
• Strong understanding of data structures, algorithms, and software engineering best practices.
• Excellent problem-solving and analytical skills.
• Strong communication skills and ability to work in a remote, collaborative environment.

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