Huzzle

SaaS, MarTech, FinTech, AI

AIEngineer

Murray, Utah, United States; United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“AI Engineer at Huzzle. Skills: AI/ML models, LLMs, generative AI, Python. Design, build, and deploy AI/ML models. Develop and optimize AI-powered features”

What You'll Achieve.

optimize AI and machine learning solutions; design intelligent systems; integrate AI models into production environments; contribute to cutting-edge AI initiatives; translate business needs into AI solutions; performance and scalability; security and compliance best practices; real business impact

Industry & Context.

SaaS, MarTech, FinTech, AI
Problems you'll solve

analytical and problem-solving skills

What They're Looking For.

Must Have

2+ years of experience as an AI Engineer, Machine Learning Engineer, or similar role, Python, TensorFlow, PyTorch, Scikit-learn, LangChain, LLMs, generative AI, prompt engineering, AI agents, vector databases, embeddings, retrieval-augmented generation (RAG), AWS, Azure, Google Cloud, APIs, microservices, backend development, Docker, Git, CI/CD workflows, analytical and problem-solving skills, communication skills, work remotely with global teams, AI automation tools, agent frameworks

Nice to Have

MLOps, model monitoring tools, NLP, computer vision, recommendation systems, AI SaaS products, chatbots, FastAPI, Node. js, React-based applications

What You'll Do.

and deploy AI/ML models

Develop and optimize AI-powered features

Work with Large Language Models (LLMs)

Collaborate with cross-functional teams

Integrate AI services

Fine-tune and evaluate machine learning models

Maintain documentation

Ensure AI systems follow security

Stay updated with AI advancements

How You'll Work.

Team & Collaboration

Collaborate with product, engineering, and data teams; Collaborate with cross-functional teams; work remotely with global teams; Direct collaboration with a fast-moving, high-performance team

Communication Scope

Excellent communication skills

Full Job Description

### 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 skilled **AI Engineer** with at least **2 years of hands-on experience** in developing, deploying, and optimizing AI and machine learning solutions. You will work closely with product, engineering, and data teams to design intelligent systems, integrate AI models into production environments, and contribute to cutting-edge AI initiatives. This is an exciting opportunity for someone passionate about **machine learning, generative AI, LLMs, automation, and scalable AI infrastructure** in a fully remote environment. ### Key Responsibilities * Design, build, and deploy AI/ML models for real-world applications. * Develop and optimize AI-powered features using modern frameworks and APIs. * Work with Large Language Models (LLMs) such as GPT, Claude, or open-source alternatives. * Build AI pipelines for data processing, training, inference, and monitoring. * Collaborate with cross-functional teams to translate business needs into AI solutions. * Integrate AI services into web applications, SaaS platforms, and internal tools. * Fine-tune and evaluate machine learning models for performance and scalability. * Maintain documentation and ensure AI systems follow security and compliance best practices. * Stay updated with the latest advancements in AI, machine learning, and automation technologies. **Requirements** * 2+ years of experience as an AI Engineer, Machine Learning Engineer, or similar role. * Strong experience with **Python** and AI/ML libraries such as TensorFlow, PyTorch,

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