AI Engineer
Huzzle Open · verified Oct 22, 2026 At a glance
Mid-level AI Engineering role at Huzzle. Remote, Mexico · full-time.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and launch machine-learning models that run in production
- Create LLM-based applications and generative AI features, including automation, chatbots, recommendations and predictions
- Fine-tune and assess models, then improve their speed, scale and accuracy
- Connect AI capabilities to existing products and build training and inference pipelines from varied data
- Set up prompt and retrieval-augmented generation approaches, monitor deployed systems and document how they work
What you bring
- At least three years in AI engineering, machine learning or a related software engineering role
- Strong Python skills and practical use of AI/ML frameworks such as TensorFlow, PyTorch or another listed framework
- Hands-on work with OpenAI APIs, large language models, generative AI or natural language processing
- Experience putting machine-learning models into production and familiarity with cloud platforms and retrieval-based systems
Who this fits
This mid-level, full-time contract role suits an AI engineer comfortable working remotely with product, engineering and leadership teams. The role is remote in Mexico.
From the employer
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