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- Tasks: Design and deploy advanced AI technologies for infrastructure design.
- Company: Join AECOM, a global leader in innovative engineering solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team tackling real-world challenges.
- Why this job: Make a real impact on sustainability and efficiency in the built environment.
- Qualifications: Master's degree and hands-on experience with LLM techniques required.
The predicted salary is between 60000 - 80000 £ per year.
AECOM in Greater London is seeking a technical professional to join their AI Engineering team, focusing on LLM-based solutions. This role entails designing, implementing, and deploying advanced AI technologies that revolutionize infrastructure design, ensuring efficiency and sustainability.
The ideal candidate will hold a Master's degree in a relevant field and possess hands-on experience with LLM techniques. Join a global team committed to making a measurable impact in the built environment while working on real-world challenges.
Production AI Engineer (LLM / SaaS) employer: AECOM
Contact Detail:
AECOM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production AI Engineer (LLM / SaaS)
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and engineering fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews! Research AECOM's projects and values, especially their focus on sustainability and infrastructure design. Tailor your responses to highlight how your skills in LLM techniques can contribute to their goals.
✨Tip Number 3
Showcase your work! If you’ve got any projects or case studies related to AI or LLM, make sure to have them ready to discuss. This will demonstrate your hands-on experience and passion for the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team at AECOM.
We think you need these skills to ace Production AI Engineer (LLM / SaaS)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with LLM techniques and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t hold back on 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 and how you can contribute to our mission at AECOM. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Technical Skills: In your application, be sure to mention specific tools and technologies you've used in your previous roles. We’re looking for hands-on experience, so let us know how you've applied your knowledge in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our team!
How to prepare for a job interview at AECOM
✨Know Your LLMs Inside Out
Make sure you brush up on your knowledge of large language models (LLMs) before the interview. Be ready to discuss specific techniques you've used, challenges you've faced, and how you've implemented these solutions in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex problems in AI engineering. Think of examples where your work has led to efficiency or sustainability improvements in infrastructure design, as this aligns perfectly with what AECOM is looking for.
✨Understand AECOM's Mission
Do your homework on AECOM and their commitment to revolutionising the built environment. Familiarise yourself with their projects and values so you can demonstrate how your skills and experiences align with their goals during the interview.
✨Ask Insightful Questions
Prepare a few thoughtful questions to ask your interviewers. This shows your genuine interest in the role and the company. Consider asking about their current AI projects or how they measure the impact of their LLM solutions on infrastructure design.