At a Glance
- Tasks: Design and deploy cutting-edge AI systems for investment decision-making.
- Company: Globally respected investment platform at the forefront of AI innovation.
- Benefits: Competitive salary, autonomy, and direct exposure to senior leaders.
- 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 70000 - 90000 € 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 Slough employer: Harrington Starr
Join a leading investment platform that champions innovation and technical excellence, offering a dynamic work culture where your contributions directly impact the future of AI in finance. With a strong emphasis on employee growth, you will have the opportunity to work alongside industry experts, engage in meaningful projects, and enjoy a collaborative environment that fosters creativity and autonomy. Located in a vibrant city, this role not only provides competitive benefits but also positions you at the heart of cutting-edge technology in a rapidly evolving sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer in Slough
✨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 land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLM systems or production-grade applications. We want to see what you can do, so make sure your work is front and centre when you’re chatting with potential employers.
✨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
Don’t forget to 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 are proactive about their job search!
We think you need these skills to ace Senior AI Engineer in Slough
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 our needs. Share specific examples of your work in designing and deploying AI systems, especially in complex environments.
Showcase Your Technical Skills:Don’t shy away from listing your technical proficiencies! Mention your experience with Python, vector databases, and any relevant frameworks or tools. 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 designed and deployed AI solutions, focusing on the challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific instances where you've tackled complex problems in unstructured data environments. Use examples that highlight your ability to architect and implement scalable solutions, as this will resonate well with the interviewers.
✨Get Hands-On with the Tech
Familiarise yourself with the tools and technologies mentioned in the job description, like vector databases and semantic search. If possible, try to build a small project or prototype that demonstrates your skills in these areas, as it can serve as a great talking point during the interview.
✨Understand the Business Context
Since this role is within an investment platform, having a grasp of financial services and how AI can enhance decision-making in this space will set you apart. Research the company’s mission and values, and think about how your expertise can contribute to their goals.
