Mid-Senior Level LLMOps Engineer

Job Summary

To support the development of scalable applications, the full-time remote Mid-Senior Level LLMOps Engineer will fine-tune large language models, automate model lifecycle management, and collaborate with AI engineers to create robust production workflows.

Key responsibilities

• Fine-tune large language and vision-language models for data extraction and automate model lifecycle management
• Collaborate with AI Engineers to translate prompting strategies into scalable production workflows
• Design evaluation frameworks to measure model performance and maintain ML Ops pipelines for deployment and monitoring

Required qualifications

• 5-8+ years of experience in ML Ops, platform engineering, or applied machine learning roles
• Prior hands-on experience in deploying, monitoring, and maintaining ML models in production
• Strong proficiency in Python and modern LLM frameworks
• Experience with knowledge graphs, graph databases, or entity resolution systems
• Familiarity with multimodal models and document processing pipelines