AI Engineer

New
H
HuzzleArtificial Intelligence
Mexico. Colombia. Brazil. Chile. Argentina. Costa RicaFull-TimeMiddle
Salary not disclosed
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Job Details

Experience
3+ years
Required Skills
AWSDockerPythonPyTorchTensorflowscikit-learnLangChain

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.

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.
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