You will bridge the gap between complex enterprise needs and cutting-edge LLM technology. As a key technical lead, you will design RAG-based solutions, manage production-grade model serving infrastructure, and lead client POCs across Europe. This role is pivotal in scaling AI capabilities for established trading and supply chain ecosystems across the continent.
Solution Engineer at global enterprise software and AI platform
Are you ready to lead the charge in production-grade LLM deployment? We’re looking for a Solution Engineer to bridge the gap between enterprise needs and AI technology. You’ll design RAG-based solutions and manage GPU-backed infrastructure for a global software leader expanding its AI footprint. Based in London with travel to Germany, this role offers the autonomy to own a technical strategy from the ground up while delivering real-world impact for enterprise clients. If you have 5+ years of engineering experience and a passion for operationalizing large language models, this is your next big move.
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Location
London, United Kingdom
Compensation
Not Disclosed
Company
Confidential company
Role overview
About the company
Global enterprise software and AI platform
What you will do
- Design and implement enterprise AI solutions including RAG, fine-tuning, and advanced prompt engineering.
- Architect and operate robust model serving infrastructure using tools like vLLM and Kubernetes on GPU clusters.
- Lead client-facing engagements to define requirements, execute proof-of-concepts, and manage production rollouts.
Who this is a fit for
- 5+ years of experience in production software engineering with a focus on deploying and operating LLMs.
- Proven track record in client-facing roles such as solution architecture, pre-sales, or forward-deployed engineering.
- Deep technical expertise in model serving frameworks and building infrastructure for scalable AI applications.
Why this role is remarkable
- Lead the end-to-end AI deployment strategy for an established firm entering a high-growth technology sector.
- High degree of autonomy to shape technical direction and build production-grade infrastructure from the ground up.
- Work at the intersection of traditional finance and modern LLM application development with significant international reach.
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