Senior ML Engineer: LLMs & Agentic AI

HUG; New York (NY); On-site; USD 175,000 - 300,000; Full time

Benefits offered by this job

Competitive compensation

Excellent benefits

Career growth

Job summary

HUG is hiring a Senior Machine Learning Engineer to work on LLMs and agentic AI systems in New York. You will engage in model post-training, fine-tuning and evaluation, aiming to enhance real-world performance and reliability.

The role requires strong ML/AI engineering background, hands-on experience with LLMs, and excellent Python skills in a fast-moving environment with significant ownership opportunities.

Qualifications

• Strong experience in ML/AI engineering.
• Hands-on experience with LLMs/foundation models.
• Experience with model training, fine-tuning or post-training.
• Strong understanding of evaluation and experimentation.

Responsibilities

• Develop and improve large language models and AI systems.
• Perform post-training, fine-tuning and evaluation of models.
• Build robust evaluation frameworks and methodologies.
• Work on agentic AI systems and improve reliability.
• Design data and training pipelines to boost performance.
• Experiment with new approaches to model behaviour and performance.

Skills

Machine Learning

AI Engineering

Python programming

Model evaluation

Tools

PyTorch

TensorFlow

LLMs

Foundation models

Job description

HUG is hiring a Senior Machine Learning Engineer to work on LLMs and agentic AI systems in New York. You will engage in model post-training, fine-tuning and evaluation, aiming to enhance real-world performance and reliability.

The role requires strong ML/AI engineering background, hands-on experience with LLMs, and excellent Python skills in a fast-moving environment with significant ownership opportunities.