Software Engineer

• *About The Job
• *Mercor

connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include

• *Benchmark**

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• *General Catalyst**

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• *Peter Thiel**

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• *Adam D'Angelo**

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• *Larry Summers**

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• *Jack Dorsey**

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• *Position:**

Software Engineer

• *Type:
• *Contract
• Compensation:
• $100–$160/hour
• *Commitment:
• *30–40 hours/week
• *Role Responsibilities
• Design, build, and optimize distributed infrastructure for training, deploying, and scaling AI agents across high-performance compute environments.
• Develop core backend systems including services, APIs, and orchestration layers to support agent lifecycles, tool execution, memory access, and multi-agent coordination.
• Collaborate with research and applied AI teams to integrate model-serving pipelines, agent reasoning loops, memory stores, and planning components into production systems.
• Build and maintain agent runtime infrastructure, including task scheduling, state management, inter-agent communication, and execution reliability.
• Implement monitoring, observability, and fault-tolerance mechanisms for long-running agent processes and distributed workflows.
• Evaluate and improve system performance across compute, networking, storage, and inference layers, identifying and resolving bottlenecks.
• *Qualifications
• *Must-Have
• Strong foundation in Computer Science, Software Engineering, or Systems Design with experience building large-scale distributed systems.
• Proficiency in one or more backend or systems programming languages such as Go, Rust, Python, C++, Java, Scala, C#, Kotlin, or TypeScript/JavaScript.
• Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization/orchestration tools such as Docker and Kubernetes.
• Strong experience designing production-grade backend services, APIs, and distributed systems.
• Knowledge of networking, data streaming, caching, and performance optimization in distributed systems.
• Excellent collaboration and communication skills.
• Ability to commit 30-40 hours per week, including required synchronous collaboration sessions.
• *Preferred
• Familiarity with LLM inference pipelines, agent frameworks, multi-agent architectures, or reinforcement learning environments.
• *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.

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