What are the responsibilities and job description for the Remote | Software Engineer — $100–$160/hour position at 24-MAG?
We are sharing a specialised part-time consulting opportunity for experienced software engineers with strong backgrounds in distributed systems, backend infrastructure, cloud environments, and production-grade systems engineering.
This role supports an exciting collaboration with a leading frontier AI research laboratory focused on building scalable systems that power the next generation of intelligent, autonomous agents.
Selected professionals will work at the intersection of distributed systems engineering and agentic AI, helping design and optimize the infrastructure needed to train, deploy, and scale advanced AI agents in real-world environments. This opportunity is especially well-suited to engineers with strong backend and systems expertise who are comfortable building reliable distributed services, collaborating with research teams, and supporting high-performance runtime environments for multi-agent systems.
Key Responsibilities
Professionals in this role may contribute to:
Distributed Systems & Infrastructure Engineering
Design, build, and optimize distributed infrastructure for training, deploying, and scaling AI agents across high-performance compute environments
Evaluate and improve system performance across compute, networking, storage, and inference layers, identifying and resolving bottlenecks
Implement monitoring, observability, and fault-tolerance mechanisms for long-running agent processes and distributed workflows
Backend Systems & Agent Runtime Development
Develop core backend systems including services, APIs, and orchestration layers that support agent lifecycles, tool execution, memory access, and multi-agent coordination
Build and maintain agent runtime infrastructure including task scheduling, state management, inter-agent communication, and execution reliability
Support production-grade infrastructure for complex AI agent workflows and autonomous system behavior
AI Systems Collaboration & Technical Iteration
Collaborate closely with research and applied AI teams to integrate model-serving pipelines, agent reasoning loops, memory stores, and planning components into production systems
Participate in synchronous collaboration sessions to review architecture decisions, troubleshoot distributed systems, and iterate on design improvements
Help shape foundational systems that support next-generation agentic AI deployment at scale
Ideal Profile
Strong candidates may have:
A 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 or JavaScript
Experience with cloud infrastructure such as AWS, GCP, or Azure
Experience with containerization and orchestration tools such as Docker and Kubernetes
Strong experience designing production-grade backend services, APIs, and distributed systems
Excellent collaboration and communication skills
Preferred Qualifications
Familiarity with LLM inference pipelines, agent frameworks, multi-agent architectures, or reinforcement learning environments
Knowledge of networking, data streaming, caching, and performance optimization in distributed systems
Strong comfort working across both systems engineering and applied AI infrastructure contexts
Ability to operate effectively in fast-moving, technically demanding environments
Why This Opportunity
Contribute specialised distributed systems and backend engineering expertise to a cutting-edge AI collaboration
Help shape the infrastructure behind next-generation intelligent and autonomous agent systems
Work at the frontier of software engineering and agentic AI on foundational systems with real-world impact
Collaborate with leading systems engineers, AI researchers, and agent developers on hard problems in scalability, reliability, and autonomy
Contract Details
Independent contractor role
Fully remote with flexible scheduling
Hourly compensation of $100–$160 per hour
Expected commitment of 30–40 hours per week
Participation in synchronous collaboration sessions is required, with 4-hour windows 2–3 times per week
Projects may be extended, shortened, or concluded early depending on project needs and performance
Weekly payments via Stripe or Wise
Work will not involve access to confidential or proprietary information from any employer, client, or institution
Please note: We are unable to support H1-B or STEM OPT candidates at this time
Start date: Immediate
About The Platform
This opportunity is available through a leading AI-driven work platform that connects domain experts with frontier AI research projects.
Experts contribute to improving advanced AI systems by providing specialised expertise across real-world workflows, structured evaluation, model training support, and domain-specific content validation.
By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy
This role supports an exciting collaboration with a leading frontier AI research laboratory focused on building scalable systems that power the next generation of intelligent, autonomous agents.
Selected professionals will work at the intersection of distributed systems engineering and agentic AI, helping design and optimize the infrastructure needed to train, deploy, and scale advanced AI agents in real-world environments. This opportunity is especially well-suited to engineers with strong backend and systems expertise who are comfortable building reliable distributed services, collaborating with research teams, and supporting high-performance runtime environments for multi-agent systems.
Key Responsibilities
Professionals in this role may contribute to:
Distributed Systems & Infrastructure Engineering
Design, build, and optimize distributed infrastructure for training, deploying, and scaling AI agents across high-performance compute environments
Evaluate and improve system performance across compute, networking, storage, and inference layers, identifying and resolving bottlenecks
Implement monitoring, observability, and fault-tolerance mechanisms for long-running agent processes and distributed workflows
Backend Systems & Agent Runtime Development
Develop core backend systems including services, APIs, and orchestration layers that support agent lifecycles, tool execution, memory access, and multi-agent coordination
Build and maintain agent runtime infrastructure including task scheduling, state management, inter-agent communication, and execution reliability
Support production-grade infrastructure for complex AI agent workflows and autonomous system behavior
AI Systems Collaboration & Technical Iteration
Collaborate closely with research and applied AI teams to integrate model-serving pipelines, agent reasoning loops, memory stores, and planning components into production systems
Participate in synchronous collaboration sessions to review architecture decisions, troubleshoot distributed systems, and iterate on design improvements
Help shape foundational systems that support next-generation agentic AI deployment at scale
Ideal Profile
Strong candidates may have:
A 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 or JavaScript
Experience with cloud infrastructure such as AWS, GCP, or Azure
Experience with containerization and orchestration tools such as Docker and Kubernetes
Strong experience designing production-grade backend services, APIs, and distributed systems
Excellent collaboration and communication skills
Preferred Qualifications
Familiarity with LLM inference pipelines, agent frameworks, multi-agent architectures, or reinforcement learning environments
Knowledge of networking, data streaming, caching, and performance optimization in distributed systems
Strong comfort working across both systems engineering and applied AI infrastructure contexts
Ability to operate effectively in fast-moving, technically demanding environments
Why This Opportunity
Contribute specialised distributed systems and backend engineering expertise to a cutting-edge AI collaboration
Help shape the infrastructure behind next-generation intelligent and autonomous agent systems
Work at the frontier of software engineering and agentic AI on foundational systems with real-world impact
Collaborate with leading systems engineers, AI researchers, and agent developers on hard problems in scalability, reliability, and autonomy
Contract Details
Independent contractor role
Fully remote with flexible scheduling
Hourly compensation of $100–$160 per hour
Expected commitment of 30–40 hours per week
Participation in synchronous collaboration sessions is required, with 4-hour windows 2–3 times per week
Projects may be extended, shortened, or concluded early depending on project needs and performance
Weekly payments via Stripe or Wise
Work will not involve access to confidential or proprietary information from any employer, client, or institution
Please note: We are unable to support H1-B or STEM OPT candidates at this time
Start date: Immediate
About The Platform
This opportunity is available through a leading AI-driven work platform that connects domain experts with frontier AI research projects.
Experts contribute to improving advanced AI systems by providing specialised expertise across real-world workflows, structured evaluation, model training support, and domain-specific content validation.
By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy
Salary : $100 - $160