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- Tasks: Design and deploy LLM-based solutions while collaborating with product teams.
- Company: Join AECOM, a leader in Assurance & Insight, based in Westminster.
- Benefits: Enjoy comprehensive benefits and flexible work options.
- Other info: Be part of a dynamic team with opportunities for growth and innovation.
- Why this job: Make an impact by solving real-world problems with cutting-edge AI technology.
- Qualifications: Master's degree and hands-on experience with LLM techniques and Python required.
The predicted salary is between 60000 - 80000 £ per year.
AECOM in the City of Westminster seeks a professional to join their Assurance & Insight team. This role involves designing, implementing, and deploying LLM-based solutions into production.
- Utilizing various LLM techniques to solve problems
- Developing pipelines for data extraction
- Collaborating with product teams
Candidates should possess a Master's in a relevant field, along with hands-on experience with LLM techniques and proficiency in Python. Comprehensive benefits are offered, alongside flexible work options.
AI Engineer — Production LLM, RAG Pipelines, Flexible in London employer: AECOM
Contact Detail:
AECOM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer — Production LLM, RAG Pipelines, Flexible in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your LLM projects and any relevant work you've done. This is your chance to demonstrate your hands-on experience and proficiency in Python, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and scenarios. We recommend practising with friends or using mock interview platforms to build your confidence and refine your answers.
✨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 AI Engineer — Production LLM, RAG Pipelines, Flexible in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with LLM techniques and Python. We want to see how your skills align 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 passionate about AI and how your background makes you a perfect fit for our Assurance & Insight team. Let us know what excites you about this role!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges using LLM-based solutions. We love seeing candidates who can think critically and creatively, so share those success stories with us!
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 AECOM
✨Know Your LLMs
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 in past projects, as well as how they can be applied to solve real-world problems.
✨Showcase Your Python Skills
Since proficiency in Python is a must for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice writing clean, efficient code that showcases your understanding of LLM pipelines.
✨Collaborate Like a Pro
Collaboration is key in this role, so think of examples where you've worked with product teams or cross-functional groups. Be ready to share how you communicated complex ideas and contributed to team success.
✨Ask Insightful Questions
Prepare thoughtful questions about AECOM's Assurance & Insight team and their current projects. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.