Remote AI Engineer: Build Scalable AI Solutions

Huzzle; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Fully remote

Flexible work environment

Cutting-edge AI projects

Growth opportunities

Job summary

Huzzle, a global talent partner, is hiring an AI Engineer for a fully remote, independent-contractor engagement (full-time). You’ll develop and optimize AI systems, integrate ML models into production, and build scalable AI-driven applications across business domains.

You’ll work with LLMs, OpenAI APIs, LangChain, and Hugging Face; deploy on cloud platforms (AWS/GCP/Azure); design AI copilots, chatbots, and RAG pipelines; and collaborate with product and engineering teams to translate

Qualifications

• 3+ years in AI engineering or ML-related roles.
• Proficient in Python and ML frameworks (TensorFlow, PyTorch).
• Experience with LLMs and OpenAI APIs.
• Familiarity with vector databases and RAG architectures.
• Cloud experience on AWS/GCP/Azure and backend APIs.

Responsibilities

• Design, build, and deploy AI and ML solutions for real-world apps.
• Develop and maintain applications using LLMs such as GPT-based systems.
• Build AI-powered automations, copilots, chatbots, and workflows.
• Fine-tune and optimize ML models for performance and scale.
• Integrate AI with APIs, databases, CRMs, and third-party platforms.
• Collaborate with product and engineering to translate requirements.
• Implement prompt engineering 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

Python

TensorFlow

PyTorch

LangChain

OpenAI APIs

Vector databases

AWS

Docker

CI/CD

Tools

Docker

Git

CI/CD

AWS

GCP

Azure

Job description

Huzzle, a global talent partner, is hiring an AI Engineer for a fully remote, independent-contractor engagement (full-time). You’ll develop and optimize AI systems, integrate ML models into production, and build scalable AI-driven applications across business domains.

You’ll work with LLMs, OpenAI APIs, LangChain, and Hugging Face; deploy on cloud platforms (AWS/GCP/Azure); design AI copilots, chatbots, and RAG pipelines; and collaborate with product and engineering teams to translate