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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.
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 AI Engineer (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to people in the FinTech AI space on LinkedIn. Join relevant groups and engage in discussions. You never know who might have a lead on that perfect role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and agentic workflows. This will give you an edge when chatting with potential employers.
✨Tip Number 3
Prepare for those chats! Research the companies you're interested in and be ready to discuss how your experience aligns with their needs. Tailor your conversation to highlight your production-grade thinking.
✨Tip Number 4
Apply through our website! We make it easy for you to connect with hiring managers directly. No CV needed for a first chat means you can focus on showcasing your expertise instead of stressing over paperwork.
We think you need these skills to ace 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 frameworks 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 get the attention you deserve. Plus, it’s super easy – just a few clicks and you’re in!
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 used these technologies in your previous projects.
✨Showcase Real-World Applications
Prepare examples of how you've taken AI models from demo to production. Highlight any experience with LLMs and how you've tackled challenges like observability and latency. This will demonstrate your production-grade thinking.
✨Understand the FinTech Landscape
Familiarise yourself with the regulatory environment, especially FCA documentation. Being able to discuss how your work aligns with compliance will set you apart from other candidates who may not have this insight.
✨Be Ready for Technical Questions
Expect in-depth technical questions about your past experiences and problem-solving approaches. Practice articulating your thought process clearly, as this will show your depth of knowledge and confidence in your skills.