Remote AI Engineer for ML Systems & NLP

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

Job summary

Pavago is seeking an experienced AI Engineer to design, deploy, and improve AI-powered features across the product stack. You will prototype models, develop production-ready solutions, and monitor performance in a remote setting.

The role emphasizes Python, NLP/LLMs, and cloud deployment (AWS/GCP/Azure) with a strong focus on reliability, APIs, and cross-functional collaboration in a fast-paced environment.

Qualifications

• Proven hands-on experience building and deploying AI or ML systems.
• Strong proficiency in Python.
• Experience with ML frameworks like TensorFlow or PyTorch.
• Solid NLP/LLM experience with practical product implementation.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Experience with model hosting, deployment, scaling, and monitoring.
• Strong APIs understanding and integration into software systems.
• Excellent written and spoken English.

Responsibilities

• Design, build, and iterate on AI-powered systems and features.
• Develop prototypes and production-ready solutions from experiments.
• Apply ML techniques to solve practical product problems.
• Design and maintain scalable data and model inference pipelines.
• Optimize AI systems for performance, reliability, and efficiency.
• Integrate AI models into existing product infrastructure and services.
• Monitor deployed models and iterate based on benchmarks and feedback.
• Document technical approaches and architectural decisions.

Skills

Python

NLP/LLMs

APIs

English communication

Remote work

Tools

TensorFlow

PyTorch

AWS

GCP

Azure

Job description

Pavago is seeking an experienced AI Engineer to design, deploy, and improve AI-powered features across the product stack. You will prototype models, develop production-ready solutions, and monitor performance in a remote setting.

The role emphasizes Python, NLP/LLMs, and cloud deployment (AWS/GCP/Azure) with a strong focus on reliability, APIs, and cross-functional collaboration in a fast-paced environment.