At a Glance
- Tasks: Build and deploy cutting-edge AI solutions in the FinTech sector.
- Company: Dynamic Series A-C FinTech AI company focused on innovative 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 employer: HorizonAI Talent
Join a pioneering FinTech AI company that places innovation at the heart of its operations, offering a dynamic work culture where your expertise in AI engineering will directly impact the future of banking. With competitive salaries ranging from £95K to £120K and the flexibility of remote work, you will thrive in an environment that prioritises employee growth and collaboration, while also enjoying the unique advantage of working on cutting-edge projects that redefine financial technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer
✨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
Don’t be shy about reaching out directly to hiring managers or recruiters. A simple message expressing your interest can go a long way. Plus, it shows initiative, which is always a plus in tech roles!
✨Tip Number 4
Apply through our website! We’ve got some fantastic opportunities that might not be listed elsewhere. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Show Your Experience:When you're writing your application, make sure to highlight your 4+ years of software building experience. We want to see how you've tackled real-world problems, especially with LLMs. Don't just list your skills; tell us how you've used them in production!
Get Technical:Dive into the nitty-gritty of your technical expertise. If you've worked with LangChain, LangGraph, or any of the other tools mentioned, let us know! We love seeing candidates who can talk about RAG architecture and production-grade thinking in detail.
Be Authentic:We appreciate a genuine approach. Share your passion for AI and FinTech in your application. Let us know why you're excited about the role and how you can contribute to our mission. Authenticity goes a long way!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it makes the whole process smoother for everyone involved.
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 Real-World Applications
Prepare examples of how you've taken LLMs from demo to production. Highlight any projects where you’ve implemented agentic workflows or worked with FCA-regulated environments. This will demonstrate your ability to handle the complexities of the role.
✨Think Production-Grade
Be prepared to talk about production-grade thinking. Discuss your experience with observability, latency, cost management, and model selection. Hiring managers want to see that you understand the challenges of deploying AI solutions at scale.
✨Engage in a Technical Discussion
Expect a deep dive into technical topics during the interview. Don’t shy away from discussing fine-tuning experiences or any shipped agentic systems. Engaging confidently in these discussions will show your expertise and passion for the field.
