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- Tasks: Design and deliver AI systems to enhance financial products and maintain data pipelines.
- Company: Leading UK financial data provider with a focus on innovation.
- Benefits: Hybrid working, enhanced parental leave, and sponsored learning opportunities.
- Why this job: Join a dynamic team and shape the future of finance with AI technology.
- Qualifications: Strong Python and TypeScript skills, plus experience with Databricks and Spark.
- Other info: Great career growth in a supportive and collaborative environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading financial data provider in the UK is seeking a Senior Software Engineer – AI Solutions to design and deliver AI systems that enhance financial products. The role involves developing AI agents, maintaining data pipelines, and integrating LLMs into existing workflows.
The ideal candidate should have strong skills in Python and TypeScript, experience with Databricks and Spark, and a proven background in AI and data-intensive systems.
The company promotes hybrid working and offers numerous benefits for employee well-being, including enhanced parental leave and sponsored learning opportunities.
Senior AI Solutions Engineer – LLMs & Data Pipelines (Hybrid) employer: FE fundinfo Group
Contact Detail:
FE fundinfo Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Solutions Engineer – LLMs & Data Pipelines (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects, especially those involving AI, Python, and TypeScript. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Ace the interview by practising common questions related to AI solutions and data pipelines. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior AI Solutions Engineer – LLMs & Data Pipelines (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, TypeScript, and any relevant AI projects. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI solutions and how you can contribute to enhancing financial products. Let us know what excites you about this opportunity!
Showcase Your Projects: If you've worked on any data pipelines or LLM integrations, make sure to mention them! We love seeing real-world applications of your skills, so include links to your GitHub or any relevant portfolios.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at FE fundinfo Group
✨Know Your Tech Stack
Make sure you brush up on your Python and TypeScript skills before the interview. Be ready to discuss how you've used these languages in past projects, especially in relation to AI systems and data pipelines.
✨Showcase Your AI Experience
Prepare examples of your work with AI agents and LLMs. Highlight specific projects where you integrated these technologies into workflows, as this will demonstrate your hands-on experience and problem-solving abilities.
✨Familiarise Yourself with Databricks and Spark
Since the role involves maintaining data pipelines, it’s crucial to understand how Databricks and Spark work. If you have experience with these tools, be ready to discuss how you've leveraged them to enhance data processing and analysis.
✨Emphasise Your Adaptability
With the hybrid working model, companies value flexibility. Share examples of how you've successfully adapted to different working environments or collaborated with remote teams, showcasing your ability to thrive in various settings.