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- Tasks: Design and deliver AI systems for innovative financial products.
- Company: Leading financial technology company in Greater London.
- Benefits: Enhanced leave, private medical insurance, and professional development opportunities.
- Other info: Exciting role in a regulated environment with great career growth potential.
- Why this job: Join a cutting-edge team and shape the future of finance with AI.
- Qualifications: Proficient in Python and TypeScript, with experience in distributed data processing.
The predicted salary is between 70000 - 90000 £ per year.
A financial technology company in Greater London is looking for a Senior Software Engineer - AI Solutions to design and deliver AI systems for financial products. The role requires strong software engineering skills, including proficiency in Python and TypeScript, as well as experience with distributed data processing using Spark. You will develop AI agents and integrate LLMs while ensuring compliance in a regulated environment.
Benefits include:
- Enhanced leave
- Private medical insurance
- Opportunities for professional development
Senior AI Solutions Engineer: Scalable LLM Pipelines employer: FE fundinfo
Contact Detail:
FE fundinfo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Solutions Engineer: Scalable LLM Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the financial tech space, especially those who work with AI solutions. A friendly chat can open doors and give you insights that might just land you that Senior AI Solutions Engineer role.
✨Tip Number 2
Show off your skills! If you've got projects or contributions related to Python, TypeScript, or distributed data processing, make sure to highlight them in conversations. We want to see how you can bring your expertise to our team!
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of LLMs and compliance in regulated environments. We love candidates who can demonstrate their understanding of these areas during discussions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate individuals ready to take on exciting challenges in AI solutions.
We think you need these skills to ace Senior AI Solutions Engineer: Scalable LLM Pipelines
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your software engineering skills, especially in Python and TypeScript. We want to see how your experience aligns with the role, so don’t hold back on showcasing your technical prowess!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Senior AI Solutions Engineer role. We love seeing candidates who take the time to connect their experiences with what we’re looking for.
Demonstrate Your Experience: Share examples of your work with distributed data processing using Spark and any AI systems you've designed. We’re keen to understand how you’ve tackled challenges in a regulated environment, so give us the details!
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. Let’s get started on this journey together!
How to prepare for a job interview at FE fundinfo
✨Know Your Tech Stack
Make sure you brush up on your Python and TypeScript skills before the interview. Be ready to discuss your experience with distributed data processing using Spark, as this will likely come up. Having specific examples of projects where you've used these technologies will really help you stand out.
✨Understand AI in Finance
Familiarise yourself with how AI is being applied in financial products. Research recent trends and case studies that showcase successful AI implementations in fintech. This knowledge will not only impress your interviewers but also show your genuine interest in the role.
✨Compliance is Key
Since the role involves working in a regulated environment, be prepared to discuss how you ensure compliance in your projects. Think about any past experiences where you had to navigate regulations and how you managed to integrate AI solutions while adhering to them.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask at the end of your interview. Inquire about the company's approach to developing AI systems or how they handle challenges in compliance. This shows that you're not just interested in the job, but also in the company's vision and values.