Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Advance code LLMs and develop cutting-edge autonomous agents.
- Company: Leading AI company in the UK with a focus on innovation.
- Benefits: Competitive compensation, generous benefits, and remote-friendly culture.
- Why this job: Join a pioneering team and shape the future of AI technology.
- Qualifications: PhD in a relevant field and strong software engineering skills required.
- Other info: Dynamic work environment with opportunities for professional growth.
The predicted salary is between 60000 - 80000 £ per year.
A leading AI company in the UK is hiring a Member of Technical Staff in the Agent Code team. This role involves advancing code LLMs and developing autonomous agents, requiring deep expertise in the field.
Candidates should hold a PhD in a relevant discipline, possess strong software engineering skills, and have hands-on experience with frontier LLMs.
The position offers a remote-friendly work culture with competitive compensation and generous benefits.
Staff Engineer - Code LLMs & Autonomous Agents in London employer: Cohere
Contact Detail:
Cohere Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Engineer - Code LLMs & Autonomous Agents in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space, especially those who work with LLMs. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to code LLMs and autonomous agents. This is your chance to demonstrate your expertise and passion, so make it shine!
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding the latest trends in AI. We recommend practicing common coding challenges and discussing your thought process clearly during interviews.
✨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 Staff Engineer - Code LLMs & Autonomous Agents in London
Some tips for your application 🫡
Show Off Your Expertise: Make sure to highlight your PhD and any relevant experience in your application. We want to see how your background aligns with advancing code LLMs and developing autonomous agents.
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the skills and experiences that are most relevant to the Staff Engineer role. We love seeing candidates who take the time to connect their expertise with our needs.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and ensure it reaches the right people!
How to prepare for a job interview at Cohere
✨Know Your LLMs
Make sure you brush up on the latest advancements in code LLMs. Be prepared to discuss specific models you've worked with and how they relate to the role. Showing your deep understanding of the technology will impress the interviewers.
✨Showcase Your Engineering Skills
Prepare to demonstrate your software engineering prowess. Bring examples of past projects where you developed or improved autonomous agents. Highlight your coding skills and problem-solving abilities, as these are crucial for the position.
✨Research the Company
Familiarise yourself with the company's mission and recent projects. Understanding their work culture and values will help you tailor your responses and show that you're genuinely interested in being part of their team.
✨Ask Insightful Questions
Prepare thoughtful questions about the team's current challenges and future goals. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you. Engaging in a two-way conversation can leave a lasting impression.