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AI Engineer

Job in Weslaco, Hidalgo County, Texas, 78596, USA
Listing for: Huzzle
Full Time position
Listed on 2026-09-01
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below

AI Engineer

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, Mar Tech, Fin Tech, 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

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.
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