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- Tasks: Develop and fine-tune AI models for financial compliance in a pioneering fintech environment.
- Company: Join a leading fintech company in Central London with a focus on innovation.
- Benefits: Enjoy a competitive salary, equity package, and flexible remote work options.
- Why this job: Make a real impact by building next-gen AI solutions in finance.
- Qualifications: 3+ years of AI research experience and strong collaboration skills required.
- Other info: Be part of a dynamic team with exciting growth opportunities.
The predicted salary is between 43200 - 72000 £ per year.
A pioneering fintech company in Central London is seeking an AI Research Engineer to develop cutting-edge AI models for financial compliance. This role involves building, fine-tuning, and evaluating large language models, while working closely with product teams to ensure effective implementation.
Ideal candidates should have over 3 years of experience in AI research, a strong understanding of prompt engineering, and excellent collaboration skills.
Enjoy competitive salary, equity package, and the freedom to work remotely for part of the year.
AI Research Engineer: Build Next-Gen Compliance AI (London) employer: Arva AI Inc.
Contact Detail:
Arva AI Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Research Engineer: Build Next-Gen Compliance AI (London)
✨Tip Number 1
Network like a pro! Reach out to people in the fintech and AI space on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to compliance. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on prompt engineering and large language models. We recommend doing mock interviews with friends or using online platforms to get comfortable with common questions.
✨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 are proactive about their job search.
We think you need these skills to ace AI Research Engineer: Build Next-Gen Compliance AI (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI research and prompt engineering. 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 developing AI for financial compliance and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Collaboration Skills: Since this role involves working closely with product teams, make sure to highlight any past experiences where you’ve successfully collaborated on projects. We love seeing teamwork in action!
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Arva AI Inc.
✨Know Your AI Models
Make sure you brush up on the latest advancements in AI models, especially those related to financial compliance. Be ready to discuss your experience with large language models and how you've fine-tuned them in past projects.
✨Master Prompt Engineering
Since prompt engineering is a key part of the role, prepare specific examples of how you've crafted prompts to achieve desired outcomes. This will show your understanding and practical application of this crucial skill.
✨Showcase Collaboration Skills
This position requires working closely with product teams, so be prepared to share examples of successful collaborations. Highlight how you’ve communicated complex AI concepts to non-technical stakeholders in previous roles.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that demonstrate your interest in the company’s vision for compliance AI. Inquire about their current projects or challenges they face, which shows you're genuinely engaged and thinking ahead.
