Builds backend systems for marketplace matching, search, allocation, and workflows using Python/Go. Requires experience with reliable high-throughput APIs, distributed systems, and data modeling to optimize fill rates and performance.
Member of Technical Staff owning shared backend architecture, core services, data models, APIs and infrastructure for Mercor's talent network products. Requires 8+ years backend engineering experience with deep expertise in distributed systems and a track record of organization-wide technical leadership.
Own and define the shared backend architecture, core services, data models, and APIs that power Mercor's rapidly scaling talent network and AI training products. Requires 8+ years backend engineering experience with a track record of organization-wide architectural ownership and complex migrations.
Builds secure, scalable backend systems for contracts, payouts, fraud detection, and identity/access management on Mercor's AI platform. Requires 4+ years experience with production systems at scale and strong ownership.
Builds autonomous agent systems for internal operations using Python and LLM APIs, including MCP servers, evaluation frameworks, and workflow orchestration. Owns end-to-end backend infrastructure with focus on reliability and real-world impact.
Builds scalable agentic products including LLM agents, RL environments, full-stack interfaces, and orchestration pipelines for AI model training and automation. Works cross-functionally on automation and evaluation platforms using Python, React, and AI tools.
Builds backend systems for marketplace matching, search, allocation, and workflows using Python/Go. Requires experience with reliable high-throughput APIs, distributed systems, and data modeling to optimize fill rates and performance.
Member of Technical Staff owning shared backend architecture, core services, data models, APIs and infrastructure for Mercor's talent network products. Requires 8+ years backend engineering experience with deep expertise in distributed systems and a track record of organization-wide technical leadership.
Own and define the shared backend architecture, core services, data models, and APIs that power Mercor's rapidly scaling talent network and AI training products. Requires 8+ years backend engineering experience with a track record of organization-wide architectural ownership and complex migrations.
Builds secure, scalable backend systems for contracts, payouts, fraud detection, and identity/access management on Mercor's AI platform. Requires 4+ years experience with production systems at scale and strong ownership.
Builds autonomous agent systems for internal operations using Python and LLM APIs, including MCP servers, evaluation frameworks, and workflow orchestration. Owns end-to-end backend infrastructure with focus on reliability and real-world impact.
Builds scalable agentic products including LLM agents, RL environments, full-stack interfaces, and orchestration pipelines for AI model training and automation. Works cross-functionally on automation and evaluation platforms using Python, React, and AI tools.