Forward Deployed Engineer - LLM Post-training
Core
Drive model fine-tuning and evaluations for enterprise customers by adapting open-weight models for specific domains and tasks.
Role type
Applied ML Engineer (LLM Post-training)
Builds
Fine-tuned language models, evaluation harnesses, and data pipelines for customer use cases.
Domain
Artificial Intelligence / Large Language Models / Enterprise Solutions
Deliverable
production ML models
Required skills
LLM fine-tuning (SFT, DPO, RLHF), evaluation methodology design, Python software engineering, data pipeline construction, training infrastructure debugging, customer requirement translation
Preferred skills
Experience in fast-paced startup environments, self-starter mentality, high agency
Technologies
Python, GPUs, public cloud, VPC, on-premises environments
Responsibilities
Prepare training datasets from raw customer inputs, run fine-tuning workflows, build and maintain evaluation infrastructure, debug training and inference issues, support end-to-end model deployments, contribute to evolving playbooks and benchmarks
Seniority
Mid-Senior, hands-on IC
