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- Tasks: Develop and ship cutting-edge AI agents while collaborating on innovative projects.
- Company: Join Mercor, a leading AI talent connector backed by top investors.
- Benefits: Earn $500/hour with flexible remote work and a dynamic team.
- Other info: Enjoy a fast-paced environment with daily application reviews.
- Why this job: Make a real impact in the AI field and innovate solutions.
- Qualifications: Experience in agent frameworks and eval infrastructure is essential.
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Senior Agent Engineer
Type: Contract
Compensation: $500/hour
Location: Remote
Role Responsibilities
- Develop and ship production AI agents, including orchestration frameworks and eval harnesses.
- Design and implement tool-use runtimes and multi-step workflows for agent systems.
- Evaluate and improve retrieval systems that agents utilize for enhanced performance.
- Collaborate on both frontier-lab and applied-product projects to innovate AI solutions.
- Work independently and asynchronously to meet project goals with flexible hours.
Qualifications Must-Have
- Experience in building in-house agent frameworks or cloud-agents runtime.
- Expertise in eval infrastructure for agents, including offline and online systems.
- Proficiency with tool-use, MCP, or orchestration layers.
- Knowledge of memory, retrieval, or state-passing primitives for agents.
Interview Process
- 20 mins async AI screen covering agent architectures and eval practices.
- Live follow-up for top signals.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Generative AI Engineer in London employer: Mercor
Contact Detail:
Mercor Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Engineer in London
✨Tip Number 1
Get familiar with the company and its projects. Dive into Mercor's work and understand their AI solutions. This will help you tailor your conversations during interviews and show that you're genuinely interested.
✨Tip Number 2
Practice makes perfect! Before your async AI screen, brush up on your knowledge of agent architectures and eval practices. We recommend running through some mock interviews or discussing these topics with peers to boost your confidence.
✨Tip Number 3
Don’t underestimate the power of networking. Connect with current or former employees on LinkedIn. They can provide insights about the company culture and interview process, which could give you an edge.
✨Tip Number 4
Apply through our website! It’s the quickest way to get your application in front of the right people. Plus, it shows that you’re proactive and serious about landing the role.
We think you need these skills to ace Generative AI Engineer in London
Some tips for your application 🫡
Tailor Your Resume: Make sure your resume highlights your experience with agent frameworks and eval infrastructure. 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: Use your cover letter to tell us why you’re passionate about AI and how your background makes you a great fit for this position. We love hearing personal stories that connect your experience to our mission!
Be Clear and Concise: When filling out the application form, keep your answers straightforward. We appreciate clarity, so avoid jargon unless it’s necessary. This helps us understand your qualifications quickly!
Complete the AI Interview: Don’t forget to complete the AI interview based on your resume! It’s a crucial part of the process, and we review applications daily, so get it done to boost your chances of standing out.
How to prepare for a job interview at Mercor
✨Know Your AI Stuff
Make sure you brush up on your knowledge of agent architectures and eval practices. Familiarise yourself with the latest trends in AI, especially around orchestration frameworks and tool-use runtimes. This will help you answer questions confidently and show that you're genuinely interested in the field.
✨Showcase Your Experience
Prepare to discuss your previous projects involving in-house agent frameworks or cloud-agent runtimes. Be ready to share specific examples of how you've improved retrieval systems or designed multi-step workflows. This will demonstrate your hands-on experience and problem-solving skills.
✨Practice Asynchronous Communication
Since the role involves working independently and asynchronously, practice articulating your thoughts clearly in written form. You might be asked to explain complex concepts or your approach to a project via email or chat, so being concise and clear is key.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's projects and future directions in AI. This shows that you're not just interested in the job but also in how you can contribute to their goals. It’s a great way to engage with the interviewers and leave a lasting impression.