You will bridge the gap between enterprise client needs and large language model technology by designing RAG and fine-tuning solutions. This role involves building production-ready infrastructure using vLLM and Kubernetes while leading proofs of concept. You will be instrumental in launching the company’s AI presence across the European market while working between London and Germany.
Solution Engineer — LLM Deployment at 北京金网安泰信息技术有限公司
北京金网安泰信息技术有限公司 is expanding its 20-year legacy in trading platforms into the AI space, and we need an expert Solution Engineer to lead the charge. Based in London with travel to Germany, you will design and deploy production-ready LLM systems using RAG and vLLM for enterprise clients. This is a unique opportunity to own the AI deployment strategy for a market-leading firm while building their European technical presence from the ground up. If you have 5+ years of software experience and a passion for large model infrastructure, join us in bridging the gap between cutting-edge AI and global commodity markets.
Want to apply for this role?
Jack finds you jobs at companies like 北京金网安泰信息技术有限公司. Talk to Jack to get considered for roles that fit what you're great at.
Location
London, United Kingdom
Compensation
Not Disclosed
Company
北京金网安泰信息技术有限公司
Role overview
北京金网安泰信息技术有限公司 is a subsidiary of Sunyard Technology (信雅达) that has spent over 20 years building commodity trading platforms and blockchain systems for major enterprise clients and commodity exchanges across China.
What you will do
- Architect and deploy production LLM solutions including RAG, fine-tuning, and prompt engineering tailored to the trading and finance sectors.
- Build and maintain scalable model serving infrastructure using technologies like vLLM, Kubernetes, and specialized GPU clusters for enterprise-grade stability.
- Collaborate directly with European clients to run proofs of concept, gather requirements, and deliver production-ready AI systems that solve complex business problems.
Who this is a fit for
- Possesses at least 5 years of experience building production software with specific, hands-on experience deploying LLMs using frameworks like vLLM or TGI.
- Demonstrates a strong background in client-facing roles such as pre-sales, solution architecture, or forward-deployed engineering within enterprise environments.
- Comfortable working across European and Chinese business cultures and is willing to travel regularly from London to Germany for business operations.
Why this role is remarkable
- Lead the deployment of LLM systems for an established market leader in commodity trading and supply chain finance that is now expanding into AI.
- Enjoy high autonomy as you shape the technical strategy and infrastructure for the company’s new European operations from the ground up.
- Work on mission-critical applications that integrate advanced AI with blockchain and enterprise digitalization systems for high-value trading markets.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and 北京金网安泰信息技术有限公司 wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.