Remote AI Engineer — LLMs & AI Automation Lead

Emerge; Georgia; Remote; USD 120,000 - 180,000; Full time

Job summary

Huzzle is seeking an AI Engineer to design, build, and optimize AI systems, translating business needs into scalable AI-driven applications. You will work with LLMs, deploy models, and develop AI-powered automations in a fully remote setting.

You will collaborate with cross-functional teams, iterate on model performance, and stay ahead of AI trends while contributing to production-grade systems and documentation.

Qualifications

• 3+ years of experience in AI engineering, ML, or software development.
• Proficient in Python and AI/ML frameworks like TensorFlow, PyTorch, LangChain, or Hugging Face.
• Experience with LLMs and APIs (OpenAI, Anthropic, Gemini).
• Familiarity with vector databases, embeddings, and RAG architectures.
• Experience deploying AI apps on cloud platforms (AWS, GCP, Azure).
• Strong API/backend knowledge and scalable architecture.
• Docker, Git, CI/CD, and modern dev practices.
• Excellent problem-solving and communication in remote teams.

Responsibilities

• Design, build, and deploy AI/ML solutions for business applications.
• Develop and maintain applications using LLMs and AI frameworks.
• Build AI-powered automations, copilots, chatbots, and workflows.
• Fine-tune and optimize ML models for performance at scale.
• Integrate AI systems with APIs, databases, CRMs, and third-party tools.
• Collaborate with product and engineering to translate requirements.
• Implement prompt strategies and RAG systems.
• Monitor model performance, reliability, and cost in production.
• Maintain documentation, tests, and deployment workflows.
• Stay updated on AI trends and emerging tech.

Skills

3+ years AI/ML experience

Problem-solving

Analytical thinking

Strong communication

Tools

Python

TensorFlow

PyTorch

LangChain

Hugging Face

OpenAI APIs

Anthropic

Gemini

API integration

Docker

CI/CD

Job description

Huzzle is seeking an AI Engineer to design, build, and optimize AI systems, translating business needs into scalable AI-driven applications. You will work with LLMs, deploy models, and develop AI-powered automations in a fully remote setting.

You will collaborate with cross-functional teams, iterate on model performance, and stay ahead of AI trends while contributing to production-grade systems and documentation.