AI Engineer - Remote
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
Skills
As published by workable · 11 questions · 3 written answers
Basics
First name, Last name, Email, Phone, Address, Photo, Education, Experience, Resume, Cover letter
Short answers (4)
- What language(s) are you business proficient in?
- What are your monthly salary expectations in USD?
- What were you making in your previous role as a monthly salary? Mention your base and any commissions separately (if applicable).
- If you have a LinkedIn profile, please provide the URL below (if you don't have a LinkedIn profile, put N/A)
Pick from a list (4)
- What is your level of proficiency in English?
- Which of the following timezones are you able to work in?
- What type of company do you prefer to work for?
- How did you hear about this opportunity? (Please note, this has no impact on your application)
Written answers (3)
- Can you list all of the tools, software and platforms that you have used in your previous roles?
- Which industries have you worked in your roles? (e.g., AI, Tech, SaaS, Marketing etc)
- Have you ever worked with clients or companies based outside of your home country (e.g., U.S., U.K., or other countries)? If yes, please specify the countries)?