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- Tasks: Design and implement AI workflows for legal teams, collaborating with the CTO.
- Company: Pioneering legal tech startup based in Greater London.
- Benefits: Unique opportunity to shape the future of legal tech and grow with a high-growth startup.
- Why this job: Transform the legal industry with cutting-edge AI technology and make a real impact.
- Qualifications: Experience in production LLM workflows and strong problem-solving skills.
- Other info: Join a dynamic team and be part of an exciting journey in AI innovation.
The predicted salary is between 36000 - 60000 £ per year.
A pioneering legal technology startup based in Greater London is seeking a Founding Applied AI Engineer to design and implement LLM powered workflows for legal teams. The role involves collaborating directly with the CTO to create reliable AI systems for contract review and management.
Candidates should possess experience in production LLM workflows and strong problem-solving skills. This position offers a unique opportunity to contribute to transforming the legal industry and gain exposure to building a high-growth AI startup.
Founding AI Engineer — Build Production LLM Workflows employer: WilsonAI
Contact Detail:
WilsonAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding AI Engineer — Build Production LLM Workflows
✨Tip Number 1
Network like a pro! Reach out to folks in the legal tech space, especially those who are already working with AI. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your experience with LLM workflows. Whether it’s a GitHub repo or a personal website, let us see what you can do!
✨Tip Number 3
Prepare for the interview by understanding the company’s mission and how your skills align with their goals. We want to see your passion for transforming the legal industry through AI!
✨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.
We think you need these skills to ace Founding AI Engineer — Build Production LLM Workflows
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI and how it can revolutionise the legal industry. Share any relevant projects or experiences that highlight your skills in building LLM workflows.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to reflect the specific requirements of the Founding AI Engineer role. Highlight your experience with production LLM workflows and problem-solving abilities to catch our eye.
Be Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where necessary to make it easy for us to see your qualifications and achievements at a glance.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity to shape the future of legal tech.
How to prepare for a job interview at WilsonAI
✨Know Your LLM Workflows
Make sure you brush up on your knowledge of production LLM workflows. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your practical experience and problem-solving skills.
✨Understand the Legal Tech Landscape
Familiarise yourself with the legal technology sector and its current trends. Knowing how AI is transforming contract review and management will help you demonstrate your passion for the industry and your ability to contribute meaningfully to the startup's mission.
✨Collaborate Like a Pro
Since you'll be working closely with the CTO, think about examples from your past where collaboration led to successful outcomes. Prepare to discuss how you communicate and work with others to build reliable AI systems, as teamwork will be key in this role.
✨Show Your Problem-Solving Skills
Be prepared to tackle hypothetical scenarios during the interview. Think through how you would approach common challenges in AI engineering, especially in a legal context. This will highlight your analytical thinking and readiness to innovate in a high-growth environment.