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Huzzle via Workable

AI Engineer

Level not stated MexicoColombiaBrazilChileArgentinaCosta Rica
still open verified 9h ago posted 127d ago checked 2h ago
Apply at apply.workable.com

This is the employer's own posting, not a copy on a job board.

What we know

Is it still open?

Confirmed still open

Last checked 9h ago — checked against the employer's own applicant tracking system, which is the company answering directly.

We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.

Check this listing's status as JSON

How old is it?

Posted 127d ago

The date the source published, not the day we noticed it (2026-05-11). Last seen at its source 2h ago.

Is it remote?

Marked remote on the employer's board

Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.

Who may apply?

Mexico, Colombia, Brazil, Chile, Argentina, Costa Rica

The description states no restriction of its own. This is the source's own tag.

Pay not stated

Similar roles pay $4,100–6,938/mo

Middle 50% of 14 listings that do state pay — Engineering · all levels · Mexico · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.

Skills named in the ad

AWSAzureCI/CDDockerGCPKubernetesLLMLangChainMachine LearningNLPPrompt EngineeringPyTorchPythonRAGTensorFlowscikit-learn

Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.

Carried by 1 source

The listing

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

Apply at apply.workable.com