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- Tasks: Design and deploy LLM-based solutions for infrastructure and building design.
- Company: Join AECOM, a global leader in innovative construction solutions.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Be part of a dynamic team delivering innovative solutions worldwide.
- Why this job: Make a real impact on the future of construction with cutting-edge AI technology.
- Qualifications: Master’s degree in Computer Science and hands-on LLM experience required.
The predicted salary is between 60000 - 80000 £ per year.
AECOM is seeking a candidate for their AI Engineering team to design and deploy LLM-based solutions that impact infrastructure and building design. This role involves end-to-end ML solutions, using advanced LLM techniques to solve complex problems.
Must have a Master’s degree in Computer Science or a related field, along with hands-on experience with LLM approaches.
Join us as we deliver innovative solutions to the construction industry, backed by the scale of a global team.
Production AI Engineer (LLM / SaaS) employer: AECO
Contact Detail:
AECO 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 folks in the AI and engineering space on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your LLM projects or any relevant work you've done. This gives potential employers a taste of what you can bring to the table, especially in a hands-on role like this one.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with LLM techniques. We recommend practising common interview questions and even doing mock interviews with friends or mentors.
✨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, 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. We want to see how your skills align with the role, so don’t be shy about 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 engineering and how you can contribute to our team at AECOM. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any cool ML solutions or LLM-based projects, make sure to mention them in your application. We’re keen to see real-world examples of your work and how you’ve tackled complex problems.
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 – just a few clicks and you’re done!
How to prepare for a job interview at AECO
✨Know Your LLMs Inside Out
Make sure you brush up on your knowledge of large language models (LLMs) and their applications in infrastructure and building design. Be ready to discuss specific techniques you've used and how they can solve complex problems in the industry.
✨Showcase Your Hands-On Experience
Prepare to share examples of your hands-on experience with LLM approaches. Whether it's a project from your Master's degree or a personal endeavour, having concrete examples will demonstrate your capability and passion for AI engineering.
✨Understand AECOM's Vision
Research AECOM’s recent projects and innovations in the construction industry. Understanding their goals and how your skills can contribute to their mission will show that you're genuinely interested in the role and the company.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the technologies they use, and future projects. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values.