Remote AI Engineer

Role Summary

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

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.

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

About the Company

Our client is a high-growth sales acceleration partner specializing in outsourced business development for complex B2B sectors, including FinTech, HealthTech, and Manufacturing. Operating across the UK, Europe, and North America, the team helps ambitious global brands bridge the gap between lead generation and revenue through a proven, consultative sales methodology. They act as a strategic extension of their clients' organizations, deploying expert SDR teams and advanced sales engagement technology to navigate high-value, long-cycle sales environments.

The team prides itself on combining the agility of a startup with enterprise-level maturity, fostering a culture driven by performance, data-backed insights, and continuous professional development. With a focus on delivering measurable ROI through human-led, tech-enabled outreach, they provide a fast-paced and collaborative environment for sales professionals passionate about account-based targeting and high-level executive engagement. This is an opportunity to join a scaling firm at the forefront of modern B2B sales innovation.

Job Type Full-time