AI Engineer - Remote

Huzzle

$100K — $150K *
US-AnywhereRemote in Canada
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 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 with large language models (LLMs) and generative AI tools.
  • Familiarity with vector databases and RAG architectures.
  • Knowledge of cloud platforms like AWS, GCP, or Azure.
  • Experience building REST APIs and scalable backend systems.
  • Understanding of MLOps and model deployment workflows.
  • Strong problem-solving and analytical skills.

Responsibilities

  • Design, develop, and deploy AI and machine learning models for practical applications.
  • Build and optimize AI-powered tools using cutting-edge technologies.
  • Develop scalable APIs and backend services for AI applications.
  • Fine-tune machine learning models to enhance performance.
  • Work with diverse datasets for training and inference purposes.
  • Implement advanced techniques like prompt engineering and RAG pipelines.
  • Integrate AI solutions into various business systems and platforms.
  • Monitor AI model performance and scalability in production environments.
  • Collaborate with cross-functional teams to outline AI product requirements and technical roadmaps.
  • Stay updated on the latest AI technologies and best practices.

Benefits

  • Fully remote role with a flexible work environment.
  • Engage in cutting-edge AI automation projects that deliver real business impact.
  • Strong growth trajectory into senior AI or systems roles.
  • Gain exposure to LLMs, prompt engineering, and scalable AI system design.
  • Collaborate directly with a high-performance, fast-moving team.
Full Job Description
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

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