AI Engineer

This is a hands-on Applied ML role focused on LLM post-training, fine-tuning, and evaluation, adapting models for real-world use cases and pushing performance in production environments.

What You'll Do:

• Fine-tune and iterate on LLMs
• Build and run evaluation frameworks to measure real performance
• Prepare and curate training data from messy, real-world inputs
• Debug training and inference issues, improving model reliability
• Support deployment of models into production environments

• Strong hands-on experience with LLM post-training and fine-tuning
• Deep understanding of evaluation methodology and model quality
• Comfortable with training infrastructure and debugging training runs
• Strong Python engineering fundamentals and experience shipping ML systems
• Ability to operate in fast-paced, ambiguous environments