Remote AI Engineer - LLMs, Automation & Growth

Emerge; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Fully remote role

Competitive salary

Flexible work environment

Exposure to cutting-edge AI projects

Growth into senior AI roles

Collaboration with high-performance团队

Job summary

Huzzle is seeking an AI Engineer with 2+ years of hands-on experience in developing, deploying, and optimizing AI/ML solutions. You will collaborate with product, engineering, and data teams to productionize models and integrate AI capabilities into SaaS platforms.

This fully remote role focuses on machine learning, generative AI, LLMs, automation, and scalable AI infrastructure, with opportunities to work across global teams and cutting-edge AI initiatives.

Qualifications

• 2+ years of experience as an AI Engineer or similar role.
• Strong experience with Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, or LangChain.
• Experience with LLMs, generative AI, prompt engineering, or AI agents.
• Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG).
• Experience deploying models using cloud platforms like AWS, Azure, or Google Cloud.
• Understanding of APIs, microservices, and backend development.
• Experience with Docker, Git, and CI/CD workflows.
• Strong analytical and problem-solving skills.
• Excellent communication and ability to work remotely with global teams.
• Bachelor’s degree in CS/AI/Data Science or related field preferred.

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 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, ML, and automation.

Skills

Python

ML libraries

LLMs

CI/CD

APIs

Remote collaboration

Education

Bachelor's degree in CS/AI/Data Science or related

Tools

TensorFlow

PyTorch

Scikit-learn

LangChain

FastAPI

Node.js

React

Docker

Git

Job description

Huzzle is seeking an AI Engineer with 2+ years of hands-on experience in developing, deploying, and optimizing AI/ML solutions. You will collaborate with product, engineering, and data teams to productionize models and integrate AI capabilities into SaaS platforms.

This fully remote role focuses on machine learning, generative AI, LLMs, automation, and scalable AI infrastructure, with opportunities to work across global teams and cutting-edge AI initiatives.