Stellenbeschreibung
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: 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.
