AI Engineer

Reposted One Month Ago
6 Locations
Remote
Mid level
HR Tech • Software
The Role
Design, develop, and deploy scalable AI/ML solutions using LLMs and generative AI. Build RAG systems, chatbots, automation workflows, and production model pipelines; collaborate with product and engineering teams, monitor and improve model performance, and document systems.
Summary Generated by Built In
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

Skills Required

  • 3+ years of experience in AI engineering, machine learning, or related software engineering roles.
  • Strong experience with Python.
  • Experience with 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.
  • Strong understanding of data structures, algorithms, and software engineering best practices.
  • Strong communication skills and ability to work in a remote, collaborative environment.
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The Company
113 Employees
Year Founded: 2020

What We Do

Huzzle is an end-to-end AI recruiter that connects world-class experts and sales talent from emerging economies with AI labs, startups, and enterprises. The platform uses an AI recruiter to source, vet, and match top global talent with full-time remote roles, specifically focusing on high-performing professionals and providing efficient hiring and payroll solutions.

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