ML Ops Engineer - Remote

Overview

Entangle is reshaping the blockchain landscape with advanced interoperability and data connectivity solutions. We are currently seeking an experienced ML Ops engineer with experience in AI projects to join our team.

In Short

• Model Deployment: Dockerize and deploy multi-agent LLM instances.
• Optimize model serving for low-latency applications.
• Establish end-to-end monitoring for the AI platform.
• Automate training, evaluation, and deployment workflows.
• Collaborate with DevOps teams to scale Kubernetes clusters.
• Document multi-agent system workflows and API usage.
• Implement caching strategies for high-reuse LLM queries.
• Provide guidelines for extending LangGraph tools.
• Monitor LLM-specific metrics for performance.
• Collaborate with backend engineers and QA teams.

Requirements

• Experience deploying and optimizing LLMs in production.
• Proficiency with containerization and orchestration.
• Familiarity with LangChain and Web3 tools.
• Strong understanding of CI/CD tools.
• Excellent communication skills.

Benefits

• Exciting growing international start-up.
• Pay in USDT.
• Scrum/agile environment.
• Highly skilled engineering team.
• Attractive compensation plus token allocations.
• Remote work in a timezone that corresponds well with the UAE time.
• Paid vacation and public holidays.