Large Language Model (LLM) Jobs
Large Language Model engineers and researchers are among the most sought-after professionals in AI. These roles involve pre-training, fine-tuning, evaluating, and deploying LLMs for applications from chat systems to code generation and reasoning.
Last updated: May 13, 2026
Latest LLM Jobs
View all jobsFrequently Asked Questions
What does an LLM Engineer do?
LLM Engineers work on building, training, fine-tuning, and deploying large language models. This includes data preparation, distributed training, RLHF alignment, prompt engineering, RAG systems, and production serving infrastructure. They typically need proficiency in Python (required in 47-58% of AI/ML listings), PyTorch, and Hugging Face Transformers. The role has evolved rapidly, with LLM engineers now expected to understand techniques like LoRA fine-tuning, quantization, and speculative decoding for efficient inference.
What is the salary range for LLM roles?
LLM Engineer salaries range from $101K-$220K for mid-level positions, while senior LLM engineers earn $220K-$350K+ in base salary. At frontier AI labs, total compensation for senior and staff roles can exceed $400K-$700K+. The ramp-up timeline for becoming a job-ready LLM engineer is typically 12-18 months, including 6-12 months building strong ML foundations. AI job openings have increased 25.2% year-over-year, with LLM-specific roles seeing even higher growth.
Is remote work common for LLM engineers?
Yes, LLM engineering is highly remote-friendly. AI jobs are 3x more likely to offer remote work compared to non-AI tech positions. Many leading AI companies like Anthropic and Hugging Face offer fully remote LLM engineer roles. The cloud-based nature of model training and deployment means most LLM engineering work can be done from anywhere with a reliable internet connection.
AI Job Insights for LLM Jobs
Salary Range (Yearly, USD)
$40K - $450K
Median $160K from 69 listings with salary data
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