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- Tasks: Design and deploy advanced AI technologies for infrastructure solutions.
- Company: Join AECOM, a global leader in innovative engineering.
- Benefits: Competitive salary, flexible work options, and career development opportunities.
- Other info: Be part of a global team tackling real-world challenges.
- Why this job: Make a real impact on sustainable infrastructure with cutting-edge AI.
- 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 passion for LLM-based solutions.
✨Tip Number 2
Prepare for those interviews! Research AECOM’s projects and their approach to AI technologies. Be ready to discuss how your skills can contribute to their mission of revolutionising infrastructure design.
✨Tip Number 3
Showcase your hands-on experience! Bring examples of your previous work with LLM techniques to the table. Whether it’s a project or a personal endeavour, demonstrating your practical skills can set you apart from the competition.
✨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 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!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in infrastructure design and how you can contribute to our team at AECOM. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any cool AI projects, especially those involving LLMs, make sure to mention them. We love seeing real-world applications of your skills, so include links or descriptions where possible.
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 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 share examples of how you've tackled complex problems in AI engineering. AECOM is looking for someone who can think critically and creatively, so have a few case studies or projects ready to illustrate your approach to overcoming obstacles.
✨Understand AECOM's Mission
Familiarise yourself with AECOM's commitment to sustainability and efficiency in infrastructure design. Be prepared to discuss how your skills and experiences align with their goals, and how you can contribute to making a measurable impact in the built environment.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, ongoing projects, and future challenges AECOM faces in AI engineering. This shows your genuine interest in the role and helps you assess if it's the right fit for you.