Senior AI/ML engineer

Plexus Resource Solutions; United States; Remote; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Equity

Fully remote

Long-term incentives

Job summary

Plexus is partnering with a venture-backed start-up building next-generation AI infrastructure. They are seeking a Senior AI/ML Engineer for a fully remote role, within the crypto industry, to scale core inference infrastructure.

The team is small, highly technical, and distributed, focusing on performance and security. Requirements include 5+ years in AI engineering, expertise in model inference, deployment, and open-source LLMs, plus crypto-industry experience.

Qualifications

• 5+ years of experience in AI engineering.
• Strong background in model inference, optimisation and deployment.
• Experience working with open-source LLMs and machine learning.
• Previously worked at a company based in the crypto industry.
• Equity and long-term incentives are offered.

Responsibilities

• Develop and optimise ML inference pipelines at scale.
• Contribute to systems ensuring the integrity and reliability of model outputs.
• Integrate open-source models into the platform's API layer.
• Improve performance and reliability of distributed GPU infrastructure.

Skills

AI engineering

Model inference

Deployment

Open-source LLMs

Crypto industry experience

Job description

Plexus is partnering with a venture-backed start-up building next-generation AI infrastructure. Their platform enables large language models to run reliably and efficiently at scale, with a strong focus on performance and security. It's a small, highly technical, fully remote team solving some of the hardest problems in production AI, and they're now moving into their next phase of growth.

They are looking for a Senior AI/ML Engineer based within the crypto industry to help build and scale the core inference infrastructure underpinning their platform.

Role:

• Developing and optimising ML inference pipelines at scale.
• Contributing to systems that ensure the integrity and reliability of model outputs.
• Integrating open-source models into the platform's API layer.
• Improving performance and reliability of distributed GPU infrastructure.

Requirements:

• 5+ years of experience in AI engineering
• Strong background in model inference, optimisation and deployment.
• Experience working with open-source LLMs and machine learning
• Previously worked at a company based in the crypto industry
• Equity.
• Fully remote.
• Additional long-term incentives.