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For Companies At a Glance
- Tasks: Design, build, and deploy cutting-edge AI systems for enterprise clients.
- Company: Exciting VC-backed AI startup in London with rapid growth.
- Benefits: Competitive salary, equity, hybrid work, and a dynamic team environment.
- Other info: Opportunity to work on innovative projects in a fast-paced startup.
- Why this job: Join a pioneering team and make a real impact in the AI landscape.
- Qualifications: Strong software engineering skills and experience with AI/LLM systems.
The predicted salary is between 130000 - 180000 £ per year.
Salary: £130,000 - £180,000 + Benefits + Equity
Location: London (Hybrid)
I’m working with a VC-backed AI startup (London, early-stage) building infrastructure to orchestrate LLMs and AI workloads across real enterprise environments. Recently raised ~$10M seed and scaling quickly with live production deployments.
The Role
A deeply engineering-led Forward Deployed position. You’ll work directly with enterprise clients, but your core focus is shipping code - designing, building, and deploying production-grade AI/LLM systems end-to-end.
What You’ll Work On
- LLMs in production
- RAG pipelines, agentic workflows, multi-model systems
- Distributed systems, infra, orchestration layers
- Latency, scaling, GPU/CPU optimisation
What They’re Looking For
- Strong software engineering fundamentals
- Recent, hands-on production experience
- Systems-level thinking (infra, performance, architecture)
- Experience with AI/LLM systems
- Comfortable with ambiguity, ownership, shipping fast
- Able to work directly with users. Build real solutions.
Please apply if you’re interested in a confidential conversation.
Forward Deployed Engineer employer: Lumora Solutions
Contact Detail:
Lumora Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Forward Deployed Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. We can’t stress enough how personal connections can lead to job opportunities, especially in niche fields like LLMs.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI/LLM systems. We love seeing real-world applications of your work, so make sure to highlight any production-grade systems you've built.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design knowledge. We recommend practicing with mock interviews or coding challenges to get comfortable with the types of questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who are ready to dive into the world of AI and make an impact.
We think you need these skills to ace Forward Deployed Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Forward Deployed Engineer role. Highlight your software engineering fundamentals and any hands-on experience with AI/LLM systems to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about working with LLMs and AI infrastructure. Share specific examples of projects you've worked on that demonstrate your ability to ship code and solve real problems.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—show us how you’ve used them! Describe situations where you tackled ambiguity and took ownership to deliver solutions, especially in production environments.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the quickest way for us to see your application and get the ball rolling on a potential chat!
How to prepare for a job interview at Lumora Solutions
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially around LLMs and AI infrastructure. Brush up on your software engineering fundamentals and be ready to discuss your recent hands-on production experience.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in previous roles. Think about times when you had to optimise performance or design systems under pressure, as this will demonstrate your systems-level thinking.
✨Be Ready for Technical Challenges
Expect some technical questions or coding challenges during the interview. Practise coding problems related to distributed systems and orchestration layers, as these are key areas for the role. Don’t forget to explain your thought process while solving them!
✨Demonstrate Your Client Interaction Experience
Since this role involves working directly with enterprise clients, be prepared to discuss your experience in building real solutions for users. Highlight any instances where you took ownership and delivered results, especially in ambiguous situations.