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Mercor is hiring Software Engineers on behalf of a leading AI Lab building scalable systems to power the next generation of intelligent, autonomous agents. This role sits at the intersection of distributed systems engineering and agentic AI, focused on enabling advanced reasoning, multi-agent coordination, and real-world deployment at scale.
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 containerisation/orchestration tools such as Docker and Kubernetes.
Strong experience designing production-grade backend services, APIs, and distributed systems.
Familiarity with LLM inference pipelines, agent frameworks, multi-agent architectures, or reinforcement learning environments is a strong plus.
Knowledge of networking, data streaming, caching, and performance optimisation in distributed systems.
Excellent collaboration and communication skills.
Ability to commit 30-40 hours per week, including required synchronous collaboration sessions.
Apply directly on Mercor to get started.