
Generative AI Engineer | Upto $500
Mercor · Toronto, ON
- Hybrid
- Part-time
- $260,000 / year
- Toronto, ON
Job highlights
- Develop production AI agents and orchestration frameworks.
- Design and implement tool-use runtimes and workflows.
- Evaluate and improve retrieval systems for agents.
- Collaborate on innovative AI solutions.
- Work independently with flexible hours.
About the role
About The Job
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.
Key skills/competency
- Senior Agent Engineer
- AI Agents
- Orchestration Frameworks
- Eval Harnesses
- Tool-Use Runtimes
- Retrieval Systems
- AI Solutions
- Agent Frameworks
- Eval Infrastructure
- Cloud-Agents Runtime
Skills & topics
- Senior Agent Engineer
- AI Engineer
- Generative AI
- Machine Learning
- AI Research
- Software Engineering
- Remote Work
- Contract Role
- Agent Development
- AI Orchestration
How to get hired
- Tailor your resume: Highlight experience in agent frameworks, eval infrastructure, and tool-use.
- Complete the AI screen: Prepare for async AI assessment on agent architectures.
- Follow application steps: Upload your resume and complete the AI interview.
- Reach out for support: Contact support@mercor.com for any assistance needed.
Technical preparation
Review agent architectures and eval practices.,Practice building agent frameworks.,Understand tool-use and orchestration.,Prepare for async AI screening.
Behavioral questions
Describe a complex agent system you built.,How do you evaluate agent performance?,Explain your experience with tool-use.,How do you work independently on projects?
Frequently asked questions
- How can I prepare for the Senior Agent Engineer role at Mercor?
- To prepare for the Senior Agent Engineer role at Mercor, ensure your resume strongly reflects experience in building agent frameworks, eval infrastructure, and tool-use runtimes. Be ready to demonstrate your expertise in AI agent architectures and evaluation practices during the initial AI screening.
- What is the expected compensation for the Senior Agent Engineer position?
- The Senior Agent Engineer position at Mercor offers a compensation of $500 per hour. This contract role is designed for experienced professionals in AI agent development.
- What is Mercor's application process for the Senior Agent Engineer role?
- The application process for the Senior Agent Engineer role at Mercor involves uploading your resume, completing an AI interview based on your resume, and submitting the final form. This typically takes 20-30 minutes to complete.
- Can I work remotely as a Senior Agent Engineer at Mercor?
- Yes, the Senior Agent Engineer position at Mercor is a remote role, allowing you to work from any location.
- What technologies are most important for the Senior Agent Engineer job?
- Key technologies and concepts for the Senior Agent Engineer role include building in-house agent frameworks or cloud-agents runtime, expertise in agent eval infrastructure (offline and online), proficiency with tool-use, MCP, or orchestration layers, and knowledge of memory, retrieval, or state-passing primitives for agents.
- How long does the interview process for Mercor's Senior Agent Engineer role take?
- The interview process begins with a 20-minute asynchronous AI screen focusing on agent architectures and eval practices. Top candidates will then proceed to a live follow-up interview.
- Who are Mercor's notable investors?
- Mercor has attracted significant investment from prominent figures and firms, including Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
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