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 skilled AI Engineer with at least 2 years of hands-on experience in developing, deploying, and optimizing AI and machine learning solutions. You will work closely with product, engineering, and data teams to design intelligent systems, integrate AI models into production environments, and contribute to cutting-edge AI initiatives.
This is an exciting opportunity for someone passionate about machine learning, generative AI, LLMs, automation, and scalable AI infrastructure in a fully remote environment.
Key Responsibilities
- Design, build, and deploy AI/ML models for real-world applications.
- Develop and optimize AI-powered features using modern frameworks and APIs.
- Work with Large Language Models (LLMs) such as GPT, Claude, or open-source alternatives.
- Build AI pipelines for data processing, training, inference, and monitoring.
- Collaborate with cross-functional teams to translate business needs into AI solutions.
- Integrate AI services into web applications, SaaS platforms, and internal tools.
- Fine-tune and evaluate machine learning models for performance and scalability.
- Maintain documentation and ensure AI systems follow security and compliance best practices.
- Stay updated with the latest advancements in AI, machine learning, and automation technologies.
Requirements
- 2+ years of experience as an AI Engineer, Machine Learning Engineer, or similar role.
- Strong experience with Python and AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, or LangChain.
- Experience working with LLMs, generative AI, prompt engineering, or AI agents.
- Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG).
- Experience deploying models using cloud platforms like AWS, Azure, or Google Cloud.
- Understanding of APIs, microservices, and backend development.
- Experience with Docker, Git, and CI/CD workflows.
- Strong analytical and problem-solving skills.
- Excellent communication skills and ability to work remotely with global teams.
- Bachelor’s degree in Computer Science, AI, Data Science, or related field preferred.
- Experience with AI automation tools and agent frameworks.
- Knowledge of MLOps and model monitoring tools.
- Familiarity with NLP, computer vision, or recommendation systems.
- Experience building AI SaaS products or chatbots.
- Exposure to FastAPI, Node.js, or React-based 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
Skills
- Agentic AI
- AI
- API
- Automation
- AWS
- Azure
- CI/CD
- Cloud
- Computer Vision
- Data Science
- Docker
- Embeddings
- FastAPI
- Fintech
- GCP
- Generative AI
- Git
- LangChain
- LLM
- Machine Learning
- Microservices
- MLOps
- NLP
- Node.js
- Prompt Engineering
- Python
- PyTorch
- RAG
- React
- Recommendation Systems
- SaaS
- scikit-learn
- TensorFlow
- Vector Databases
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)?