LLM Algorithm Engineer

Corepass, Inc.; Menlo Park (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Corepass is building production-ready AI agents by training and aligning large language models for real business environments. The team focuses on model training, post-training, and deployment, creating end-to-end pipelines that translate research into revenue-driving applications.

We seek a skilled LLM Algorithm Engineer to own fine-tuning, domain-specific model development, evaluation, and integration into agent systems.

Qualifications

• Master’s degree or higher in CS/AI field.
• Strong DL and RL foundation.
• Transformer and large-scale training knowledge.
• Experience with LLM fine-tuning (SFT/DPO/RLHF) preferred.
• Proficient in PyTorch; Linux/GPU dev env familiarity.
• Strong ownership and continuous improvement mindset.

Responsibilities

• Own fine-tuning, post-training, and performance optimization for large language models.
• Build domain-specific LLMs, including data design, training, and evaluation.
• Lead model alignment efforts, including SFT, DPO, RLHF, and data strategy optimization.
• Explore RL applications in LLMs, including PPO and actor-critic methods.
• Build end-to-end model iteration loop: data, training, evaluation, improvement.
• Contribute to model inference optimization: distillation, quantization, acceleration, deployment.
• Support deployment of models in agent-based systems.

Skills

Deep learning

Reinforcement learning

Transformer architectures

Model fine-tuning

Hardware acceleration

PyTorch

Linux

Education

Master's degree

Tools

PyTorch

Linux

Job description

Menlo Park, CA · 5 days/week in office · Full-time

About Corepass

We operate at the intersection of frontier model research and production-grade applied AI. Our customers are not looking for demos. They need agents that drive revenue, support underwriting decisions, and perform reliably in real business environments.

We are early, well-resourced, and moving fast.

The role

We are looking for a Large Language Model Algorithm Engineer to help build, fine-tune, align, optimize, and deploy large language models for real-world AI systems. This role focuses on model training, post-training, domain-specific model development, evaluation, inference optimization, and integration into agent systems.

Responsibilities

• Own fine-tuning, post-training, and performance optimization for large language models.
• Build domain-specific LLMs, including data design, training, and evaluation.
• Lead model alignment efforts, including SFT, DPO, RLHF, and related data strategy optimization.
• Explore reinforcement learning applications in large language models, including PPO, actor-critic methods, and related approaches.
• Build an end-to-end model iteration loop, covering data, training, evaluation, and continuous improvement.
• Contribute to model inference optimization, including distillation, quantization, acceleration, and deployment.
• Support the practical deployment of models in agent-based systems.

Requirements

• Master’s degree or above in computer science, mathematics, artificial intelligence, or a related field.
• Strong foundation in deep learning and reinforcement learning.
• Solid understanding of Transformer architecture and large-scale model training workflows.
• Experience with LLM fine-tuning or post-training, such as SFT, DPO, or RLHF, is preferred.
• Proficient in PyTorch and familiar with Linux and GPU-based development environments.
• Strong modeling ability and engineering implementation skills.
• Strong sense of ownership and a continuous improvement mindset.

Why Corepass

• Foundational work: Join an early team building both model infrastructure and applied AI products.
• Real product focus: We train our own models and build agents designed for production use, not demos.
• High-impact problems: Our agents are built for business-critical workflows such as lead generation and underwriting.
• Fast execution: We are a tight team with low bureaucracy and a strong bias toward shipping.
• In-person culture: We work from our SF Bay Area office five days a week.

Corepass is an equal opportunity employer. We hire on merit and welcome candidates of every background.