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- Tasks: Design and build innovative AI pipelines for cutting-edge projects.
- Company: Leading global asset management firm with a focus on AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a significant impact in the finance sector with advanced AI technology.
- Qualifications: 3+ years in software engineering, with experience in production AI/ML systems.
- Other info: Join a dynamic team dedicated to ethical AI development.
The predicted salary is between 48000 - 72000 £ per year.
A leading global asset management firm is seeking an experienced Senior AI Engineer to design and build cutting-edge AI pipelines. The role involves developing Retrieval-Augmented Generation pipelines, implementing multi-agent workflows, and ensuring ethical use of AI systems.
Candidates should have over 3 years of software engineering experience, preferably with 1-2 years in production AI/ML systems. This position offers an opportunity to make a significant impact in AI solutions within the finance sector.
Senior Generative AI Engineer - Production-Grade RAG in London employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Generative AI Engineer - Production-Grade RAG in London
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and AI sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Retrieval-Augmented Generation. This will give you an edge over other candidates.
✨Tip Number 3
Prepare for interviews by brushing up on ethical AI practices and multi-agent workflows. We want to see you shine when discussing how you can contribute to responsible AI solutions.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior Generative AI Engineer - Production-Grade RAG in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software engineering and AI/ML systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. Let us know what excites you about working in the finance sector.
Showcase Your Technical Skills: In your application, be sure to mention specific technologies and methodologies you’ve worked with, especially those related to Retrieval-Augmented Generation and multi-agent workflows. We love seeing concrete examples of your expertise!
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. Plus, it’s super easy!
How to prepare for a job interview at Harrington Starr
✨Know Your AI Stuff
Make sure you brush up on your knowledge of generative AI and Retrieval-Augmented Generation pipelines. Be ready to discuss your past projects and how they relate to the role. Highlight any experience you have with multi-agent workflows, as this will show you're a great fit for what they're looking for.
✨Showcase Your Software Skills
Since they’re after someone with solid software engineering experience, be prepared to talk about your coding skills. Bring examples of your work, especially in production AI/ML systems. If you can, demonstrate how you've tackled challenges in previous roles and the impact of your solutions.
✨Ethics Matter
Given the focus on ethical AI use, it’s crucial to understand the implications of AI in finance. Be ready to discuss how you ensure ethical practices in your work. This could include data privacy, bias mitigation, or compliance with regulations—show them you take these issues seriously!
✨Ask Smart Questions
Interviews are a two-way street, so prepare some insightful questions about their AI initiatives and team dynamics. This not only shows your interest but also helps you gauge if the company aligns with your values and career goals. Think about asking how they measure success in their AI projects or what challenges they currently face.