LLM Engineer

Verbex is seeking an LLM Engineer to design, implement, and optimize NLP models, including traditional ML-based NLP, LMs, and LLMs. The role involves fine-tuning and evaluating large-scale pre-trained models, developing data pipelines, collaborating with product and engineering teams, and integrating NLP components into production systems. The ideal candidate will have experience with LLM fine-tuning, prompt engineering, and agentic LLM systems.

Requirements

• 2+ years of professional experience in LLM, Natural Language Processing
• Strong proficiency in Python
• Solid understanding of NLP concepts
• Experience with LLM fine-tuning, prompt engineering, pretraining, and downstream evaluation
• Experience working on end-to-end NLP product development
• Proficient with Git and cloud platforms like GCP (or AWS, Azure)
• Exposure to DevOps practices, model deployment, and monitoring
• Deep knowledge or hands-on experience with agentic LLM systems, tool calling, retrieval-augmented generation (RAG), and Model Context Protocol (MCP) workflows

Benefits

• Opportunity to work on cutting-edge LLM/NLP problems with real product impact
• Collaborative and research-friendly engineering culture
• Flexible work environment
• Career growth aligned with emerging AI innovations