AI Engineer — Production LLM, RAG Pipelines, Flexible
AI Engineer — Production LLM, RAG Pipelines, Flexible

AI Engineer — Production LLM, RAG Pipelines, Flexible

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
AECOM

At a Glance

  • 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.

Key responsibilities include:

  • 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 employer: AECOM

AECOM is an exceptional employer located in the vibrant City of Westminster, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from comprehensive perks, including flexible working arrangements and opportunities for professional growth within the Assurance & Insight team. Joining AECOM means being part of a forward-thinking organisation that values your contributions and supports your career development in cutting-edge AI technologies.
AECOM

Contact Detail:

AECOM Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Engineer — Production LLM, RAG Pipelines, Flexible

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 connections can be when it comes to 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 gives potential employers a taste of what you can bring to the table, and we all know actions speak louder than words.

Tip Number 3

Prepare for those interviews! Research common questions for AI Engineer roles and practice your responses. We recommend doing mock interviews with friends or using online platforms to boost your confidence.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.

We think you need these skills to ace AI Engineer — Production LLM, RAG Pipelines, Flexible

LLM Techniques
Data Extraction Pipelines
Python Proficiency
Problem-Solving Skills
Collaboration
Designing Solutions
Implementing Solutions
Deploying Solutions
Master's Degree in Relevant Field

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 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, how they apply to real-world problems, and any projects where you've successfully implemented these solutions.

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 common algorithms or data manipulation tasks that could come up during the interview.

Prepare for Collaborative Questions

Collaboration is key in this role, so expect questions about teamwork and communication. Think of examples from your past experiences where you worked with product teams or cross-functional groups to achieve a goal, and be ready to share those stories.

Understand AECOM's Values and Projects

Do your homework on AECOM and their Assurance & Insight team. Familiarise yourself with their recent projects and values, as this will help you tailor your answers and show genuine interest in the company and its mission.

AI Engineer — Production LLM, RAG Pipelines, Flexible
AECOM

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

>