Offer summary

Qualifications:

Advanced degree in Computer Science or related field, Strong background in Model Inference, Experience scaling AI models in production, Python expertise and interest in systems programming.

Key responsabilities:

Architect and improve cloud-based deployment systems

Create efficient solutions for concurrent model serving

Lead the transition from Open Source and third-party tools to custom frameworks

Drive innovation in model compression and performance

Job description

Want to scale AI Agents through innovative ML infrastructure?

A pioneering AI company is looking for an experienced Engineer to revolutionize how their agent technology is deployed and served. While others follow conventional paths, they're creating new approaches to agent-specific serving challenges.

Short term, you'll focus on cloud deployment and performance optimization, enhancing their current infrastructure. Long term, you'll help design and build proprietary frameworks that challenge the status quo of model serving.

What You'll Do:

Architect and improve cloud-based deployment systems
Create efficient solutions for concurrent model serving
Lead the transition from Open Source and third-party tools to custom frameworks
Drive innovation in model compression and performance
Design new approaches to large-scale model deployment

You Should Have:

Advanced degree in Computer Science or related field
Strong background in Model Inference
Experience scaling AI models in production
Python expertise and interest in systems programming
Track record of solving complex deployment challenges

Bonus Points For:

LLM model serving such as vLLM or similar
Building custom serving solutions
Knowledge of GPU optimization
Experience with large language models
Background in high-performance computing

You'll join a world-class team pushing the boundaries of what's possible with AI agents. Work remotely (EU/US East Coast) or hybrid from their London office.

This role is perfect for someone who: