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- Tasks: Design and develop cutting-edge generative AI systems for a transformative initiative.
- Company: Leading organisation at the forefront of AI transformation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a significant impact on AI solutions and work with frontier technologies.
- Qualifications: Strong experience with LLMs, agentic workflows, and Python coding.
- Other info: Join a dynamic team in Greater London with exciting career prospects.
The predicted salary is between 48000 - 72000 £ per year.
A leading organisation in AI transformation seeks a Senior Generative AI Engineer to design and develop generative AI systems as part of a multi-year AI initiative. The role involves translating research into scalable capabilities and collaborating with teams to build robust AI solutions.
Candidates should have strong experience with frontier LLMs, agentic workflows, and production-level coding, particularly in Python. This position is based in Greater London, with opportunities to significantly impact the use of AI across the organization.
Senior Generative AI Engineer — Frontier LLMs & Production Systems employer: Harrington Starr
Contact Detail:
Harrington Starr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Generative AI Engineer — Frontier LLMs & Production Systems
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, especially those working with generative AI and LLMs. Attend meetups or webinars to connect with potential colleagues and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to generative AI and frontier LLMs. This could be anything from GitHub repos to blog posts explaining your work—let us see what you can do!
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python coding skills and understanding agentic workflows. Practice common coding challenges and be ready to discuss your thought process during problem-solving.
✨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 Senior Generative AI Engineer — Frontier LLMs & Production Systems
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with frontier LLMs and production-level coding in Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about generative AI and how you can contribute to our multi-year AI initiative. Let us know what excites you about the role!
Showcase Collaboration Skills: Since this role involves working with various teams, highlight any past experiences where you’ve successfully collaborated on projects. We love seeing how you can work with others to build robust AI solutions!
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 this exciting opportunity in AI transformation!
How to prepare for a job interview at Harrington Starr
✨Know Your Generative AI Inside Out
Make sure you brush up on the latest advancements in generative AI, especially frontier LLMs. Be prepared to discuss how you've applied these technologies in past projects and how they can be scaled effectively.
✨Showcase Your Coding Skills
Since production-level coding in Python is crucial for this role, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data structures beforehand.
✨Collaborate Like a Pro
This position involves working with various teams, so highlight your collaboration skills. Share examples of how you've successfully worked in cross-functional teams to deliver AI solutions, focusing on communication and teamwork.
✨Prepare Questions That Matter
Think of insightful questions to ask your interviewers about their AI initiatives. This shows your genuine interest in the role and helps you understand how you can contribute to their goals effectively.
