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- Tasks: Build AI workflows and engage with clients to develop effective strategies.
- Company: Procore, a leader in innovative technology solutions.
- 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 deployment.
- 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 employer: Procore
Contact Detail:
Procore Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Field AI Engineer: LLM Agent Deployments
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Procore or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI workflows and LLM projects. When you get the chance to chat with potential employers, having tangible examples of your work can really set you apart.
✨Tip Number 3
Prepare for the interview by understanding Procore's products and how they use AI. Tailor your responses to show how your experience aligns with their needs, especially in client engagement and strategy development.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Field AI Engineer: LLM Agent Deployments
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 track of your application and ensures you don’t miss out on any important updates!
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 tailored to meet client needs. This will show that you’re not just familiar with the technology but can also think critically about its deployment.
✨Showcase Your Engineering Skills
Be ready to highlight your engineering background during the interview. Prepare examples of past projects where you’ve built or deployed AI workflows. This will demonstrate your technical prowess and ability to translate complex concepts into practical solutions for clients.
✨Practice Your Communication Skills
Since this role involves direct interaction with clients, effective communication is key. Practice explaining technical concepts in simple terms. You might even want to role-play with a friend to ensure you can convey your ideas clearly and confidently.
✨Prepare for Client Engagement Scenarios
Expect questions about how you would handle client interactions. Think of scenarios where you successfully engaged with clients to develop AI strategies. This will help you illustrate your problem-solving skills and adaptability in real-world situations.