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- Tasks: Build and deploy cutting-edge AI solutions in the FinTech sector.
- Company: Dynamic Series A-C FinTech AI company focused on innovative AI products.
- Benefits: Competitive salary, equity options, and mostly remote work.
- Other info: Opportunity to work on real-world applications in a fast-paced environment.
- Why this job: Join a team where AI is the core product, not just a feature.
- Qualifications: 4+ years in software development with strong LLM experience.
The predicted salary is between 95000 - 120000 £ per year.
I'm being briefed on senior AI Engineering roles inside Series A-C FinTech AI companies - places where the AI isn't a feature, it's the product. Agentic workflows running autonomously inside regulated banks. RAG pipelines built to handle FCA documentation. LLM applications shipped to real customers, with real evals, on real production traffic.
What the hiring managers consistently ask for:
- ~4+ years building software in production, with 18+ months hands-on with LLMs
- ~ Strong on the agentic stack - LangChain, LangGraph, LlamaIndex, CrewAI or equivalent
- ~ RAG architecture: chunking, embeddings, vector DBs, reranking, eval frameworks
- ~ Production-grade thinking: observability, latency, cost, model selection
- ~ Bonus: fine-tuning experience, exposure to FCA-regulated environments, or shipped agentic systems
Package: £95K–£120K, mostly remote with London ties. These aren't entry-level jobs. They're for the engineers who can take an LLM from demo to production; where the model is the easy bit and everything around it is the hard bit.
If that's you, message me! No CV needed for a first conversation.
Senior AI Engineer (Remote) in London employer: HorizonAI Talent
Contact Detail:
HorizonAI Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to people in the FinTech AI space on LinkedIn or other platforms. Join relevant groups and engage in discussions to get your name out there. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and agentic workflows. This is your chance to demonstrate your hands-on experience and production-grade thinking. We want to see what you can do!
✨Tip Number 3
Prepare for those chats! Since no CV is needed for the first conversation, focus on articulating your experience with RAG architecture and the agentic stack. We recommend practising common interview questions and having examples ready to share.
✨Tip Number 4
Apply through our website! It’s the easiest way to get noticed. We’re always on the lookout for talented individuals like you, so don’t hesitate to submit your application directly. Let’s make this happen together!
We think you need these skills to ace Senior AI Engineer (Remote) in London
Some tips for your application 🫡
Showcase Your Experience: When writing your application, make sure to highlight your 4+ years of software development experience. We want to see how you've tackled real-world problems, especially with LLMs and the agentic stack. Don't hold back on those juicy details!
Be Specific About Your Skills: Mention the specific tools and technologies you've worked with, like LangChain or vector DBs. We love seeing candidates who can demonstrate their hands-on experience with RAG architecture and production-grade thinking. It helps us understand how you fit into our team!
Tailor Your Application: Make sure your application speaks directly to the role. Use the job description as a guide and align your skills and experiences with what we're looking for. This shows us that you’re genuinely interested in the position and understand what it entails.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates. Plus, it’s super easy to do!
How to prepare for a job interview at HorizonAI Talent
✨Know Your Tech Stack
Make sure you’re well-versed in the agentic stack mentioned in the job description. Brush up on LangChain, LangGraph, and LlamaIndex, as well as RAG architecture. Be ready to discuss how you've applied these technologies in real-world scenarios.
✨Showcase Your Production Experience
Prepare to talk about your experience building software in production. Highlight specific projects where you’ve worked with LLMs and how you tackled challenges like observability and latency. Real examples will make you stand out!
✨Understand the FinTech Landscape
Familiarise yourself with the regulatory environment, especially FCA documentation. Being able to discuss how your work aligns with compliance and risk management will show that you understand the unique challenges of the FinTech sector.
✨Prepare for Technical Questions
Expect deep technical questions that go beyond just using APIs. Be ready to explain your thought process on model selection, fine-tuning, and how you would handle production-grade challenges. Practising these discussions can give you a confidence boost!