Senior 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 General Catalyst Peter Thiel Adam DAngelo Larry Summers and Jack Dorsey.

Position: Software Engineer
Type: Contract
Compensation: $100$160/hour
Commitment: 3040 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 2030 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:
• 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.