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- Tasks: Design and deploy cutting-edge AI systems for real-world investment decisions.
- Company: Globally respected investment platform at the forefront of AI innovation.
- Benefits: Competitive salary, autonomy, and direct exposure to senior decision-makers.
- Other info: Join a technically ambitious team with significant career growth opportunities.
- Why this job: Shape AI capabilities from the ground up in a fast-paced environment.
- Qualifications: Experience in building AI products and strong software engineering skills.
The predicted salary is between 60000 - 80000 £ per year.
Join a globally respected investment platform at the forefront of applying AI to complex, real-world decision making. We’re seeking a Senior AI Engineer to design and deploy production-grade LLM systems that directly enhance how investment and operational teams access, analyse, and act on information at scale. This is a highly hands-on greenfield opportunity for an engineer who has moved beyond experimentation and shipped robust AI products into live environments. You’ll play a key role in building a brand-new AI platform from the ground up, architecting and owning end-to-end retrieval and agentic systems across large volumes of unstructured data. The work combines modern LLMs, vector search, graph-based reasoning, and scalable backend services within a highly technical, fast-moving environment.
Key areas of focus include:
- Building production-grade RAG pipelines across complex unstructured datasets
- Designing multi-agent AI systems and orchestration workflows
- Developing scalable backend services and APIs using Python
- Working with vector databases, semantic search, and graph-based architectures
- Deploying reliable LLM applications with a strong focus on evaluation, performance, and guardrails
- Owning projects end-to-end — from architecture and prototyping through to production deployment
The ideal candidate will bring deep experience building and shipping AI products in production environments, strong software engineering fundamentals, and a pragmatic approach to modern AI tooling. Experience within investing, financial services, or other research-intensive environments is highly advantageous. This is an opportunity to join a technically ambitious organisation with significant autonomy, direct exposure to senior decision-makers, and the ability to shape AI capabilities from the ground up.
Senior AI Engineer in City of London employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs and production-grade systems. We want to see what you can do, so make sure your work is easily accessible and highlights your best achievements.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of AI concepts. We recommend practicing common interview questions and even doing mock interviews with friends or mentors to build your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage directly with us. Don’t hesitate to follow up after applying to express your enthusiasm!
We think you need these skills to ace Senior AI Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior AI Engineer role. Highlight your hands-on experience with LLM systems and any projects where you've built production-grade AI products.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your background fits into our mission. Share specific examples of your work in complex environments, especially in financial services or research.
Showcase Your Technical Skills: Don’t hold back on showcasing your technical prowess! Mention your experience with Python, vector databases, and any orchestration workflows you’ve designed. We want to see how you can contribute to building our new AI platform.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to shape AI capabilities with us!
How to prepare for a job interview at Harrington Starr
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI, especially around LLMs and production-grade systems. Be ready to discuss your past projects where you've built and deployed AI products, as this will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles, particularly in designing multi-agent systems or working with unstructured data. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving abilities.
✨Get Technical
Since this role involves a lot of technical work, be prepared to dive deep into your coding skills, especially in Python. You might be asked to solve a coding challenge or discuss your approach to building scalable backend services, so practice articulating your thought process.
✨Understand the Business Context
Familiarise yourself with the investment platform's goals and how AI can enhance decision-making in that space. Showing that you understand the intersection of AI and finance will demonstrate your interest in the role and the company’s mission.