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- Tasks: Build AI workflows and engage with clients to develop effective AI strategies.
- Company: Procore, a leading tech company in the Greater London area.
- Benefits: Competitive salary, travel opportunities, and a dynamic work environment.
- Other info: Exciting role with opportunities for professional growth and client interaction.
- Why this job: Join a forward-thinking team and make a real impact in AI technology.
- Qualifications: Experience with LLMs, strong engineering skills, and excellent communication.
The predicted salary is between 73840 - 101530 £ per year.
Procore is hiring a Forward Deployed AI Engineer in the Greater London area to join the Customer Success Team in the Datagrid division. This key role emphasizes building AI workflows and interacting directly with clients to develop effective AI strategies.
Candidates should possess experience with LLMs, a strong engineering background, and excellent communication skills. The position offers a competitive salary ranging from £73,840 to £101,530 annually and requires a willingness to travel frequently for client engagement.
Field AI Engineer: LLM Agent Deployments in London employer: Procore
Contact Detail:
Procore Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Field AI Engineer: LLM Agent Deployments in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Procore. A friendly chat can open doors and give you insights that might just set you apart from the competition.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your experience with LLMs and AI workflows. When you get the chance to chat with potential employers, having tangible examples of your work can really make you stand out.
✨Tip Number 3
Practice makes perfect! Get comfortable discussing your engineering background and how it relates to AI strategies. Mock interviews with friends or mentors can help you articulate your thoughts clearly and confidently.
✨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 the initiative to engage directly with us.
We think you need these skills to ace Field AI Engineer: LLM Agent Deployments in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with LLMs and engineering skills. We want to see how your background aligns 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 excited about the Field AI Engineer position and how you can contribute to our Customer Success Team. Keep it engaging and personal!
Show Off Your Communication Skills: Since this role involves direct client interaction, we’d love to see examples of your communication prowess. Whether it’s through your CV, cover letter, or any additional materials, make sure to demonstrate how you effectively convey complex ideas.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Procore
✨Know Your LLMs Inside Out
Make sure you brush up on your knowledge of large language models (LLMs). Be prepared to discuss their applications, limitations, and how they can be integrated into AI workflows. This will show that you’re not just familiar with the technology but also understand its practical implications.
✨Showcase Your Engineering Skills
Since this role requires a strong engineering background, be ready to share specific examples of projects you've worked on. Highlight your problem-solving skills and how you've applied engineering principles to develop effective AI strategies. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Communicate Clearly and Confidently
Excellent communication skills are crucial for this position. Practice explaining complex AI concepts in simple terms, as you’ll need to interact directly with clients. Consider doing mock interviews with friends or colleagues to refine your delivery and ensure you come across as approachable and knowledgeable.
✨Prepare for Client Engagement Scenarios
Since the role involves frequent travel for client engagement, think about potential scenarios you might face. Prepare to discuss how you would handle client concerns or adapt AI solutions to meet their needs. This will demonstrate your readiness to take on the responsibilities of the role and your commitment to customer success.