Distributed Systems Engineer for Agentic AI

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.

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