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For Companies At a Glance
- Tasks: Develop and ship cutting-edge AI agents and innovative solutions.
- Company: Join a leading AI research lab backed by top investors.
- Benefits: Earn $500/hour with flexible remote work hours.
- Other info: Dynamic role with daily application reviews and support available.
- Why this job: Make a real impact in the AI field while working independently.
- 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: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Generative AI Engineer employer: Mercor
Contact Detail:
Mercor Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Engineer
✨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 agent architectures and eval practices. We recommend running through some mock interviews or discussing these topics with peers to build confidence.
✨Tip Number 3
Don’t underestimate the power of networking. Reach out to current or former employees on LinkedIn. They can provide insights about the company culture and interview process that 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 you’re proactive and serious about landing the role.
We think you need these skills to ace Generative AI Engineer
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 and to the point. We appreciate clarity, so avoid jargon unless it’s necessary to explain your expertise.
Complete the AI Interview: Don’t forget to complete the AI interview based on your resume! It’s a crucial step in 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 Agents Inside Out
Make sure you brush up on your knowledge of agent architectures and eval practices. Be ready to discuss your experience with building in-house frameworks or cloud-agent runtimes, as this will likely come up during the AI screen.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've evaluated and improved retrieval systems in the past. Highlight any innovative solutions you've implemented, especially those that relate to tool-use runtimes and multi-step workflows.
✨Familiarise Yourself with the Company
Do a bit of research on Mercor and their projects. Understanding their focus on connecting talent with leading AI research labs will help you align your answers with their mission and demonstrate your genuine interest in the role.
✨Practice Asynchronous Communication
Since the role involves working independently and asynchronously, practice articulating your thoughts clearly and concisely. This will be crucial during the async AI screen, where you'll need to convey complex ideas effectively without face-to-face interaction.