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- Tasks: Build cutting-edge AI solutions that power FinTech products and transform banking.
- Company: Join a dynamic Series A-C FinTech AI company leading the industry.
- Benefits: Competitive salary, equity options, and flexible remote work.
- Other info: Exciting opportunity for career growth in a fast-paced, tech-driven environment.
- Why this job: Make a real impact by deploying AI in regulated environments with innovative technology.
- Qualifications: 4+ years in software development, 18+ months with LLMs, and strong agentic stack skills.
The predicted salary is between 95000 - 120000 £ per year.
Senior AI Engineer - FinTech AI - £95K–£120K + equity - London / Remote (UK)
"AI Engineer" is doing a lot of heavy lifting on LinkedIn right now. Most adverts under that title describe someone who can call an OpenAI API. This isn’t one of those.
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 "wrap an LLM in a chat UI" 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 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 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 the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and agentic workflows. This will give potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of RAG architecture and production-grade thinking. Practice explaining complex concepts clearly, as communication is key in these roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to get noticed. Plus, it shows you’re genuinely interested in joining our team and working on cutting-edge AI solutions.
We think you need these skills to ace Senior AI Engineer in London
Some tips for your application 🫡
Show Your Experience: Make sure to highlight your 4+ years of software building experience, especially with LLMs. We want to see how you've tackled real-world problems and what you've achieved in production environments.
Be Specific About Your Skills: When listing your skills, be specific about your experience with the agentic stack and RAG architecture. We love details, so mention any tools like LangChain or vector DBs that you've worked with.
Demonstrate Production-Grade Thinking: Talk about your approach to observability, latency, and model selection. We’re looking for engineers who think beyond just the model and understand the entire ecosystem around it.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to get your application and start the conversation without needing a CV right away!
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 roles.
✨Showcase Your Production Experience
With 4+ years of building software in production being a key requirement, prepare specific examples of your past projects. Highlight your hands-on experience with LLMs and how you’ve tackled challenges in production environments.
✨Understand the FinTech Landscape
Familiarise yourself with the regulatory environment, especially FCA documentation. Being able to discuss how AI can be integrated into regulated banking systems will show that you understand the unique challenges of the industry.
✨Prepare for Technical Questions
Expect deep technical questions about observability, latency, and model selection. Think through your approach to these topics and be ready to explain your reasoning clearly. This is your chance to demonstrate your production-grade thinking!