Added
9 days ago
Type
Full time
Salary
Salary not provided

Related skills

azure aws python kubernetes gcp

๐Ÿ“‹ Description

  • Design, build, and improve production agentic AI systems used to solve complex real-world problems.
  • Develop agent architectures for reasoning, planning, tool use, context management, memory, and
  • Build tools and capabilities that allow agents to securely interact with data, APIs, code, and
  • Develop model and inference infrastructure supporting multiple commercial and open-weight language
  • Evaluate new models, inference techniques, and emerging AI capabilities and determine how they can
  • Build automated evaluation frameworks to measure agent quality, reliability, task completion, and

๐ŸŽฏ Requirements

  • 5+ years of experience building production software, AI/ML systems, distributed systems, or similar
  • Deep experience designing, building, and operating production AI agents or agent platforms.
  • Experience developing core agent infrastructure including agent runtimes, tool execution, context
  • Strong understanding of state-of-the-art agent architectures and engineering tradeoffs for reliable
  • Experience designing agents that use tools, reason across multi-step tasks, interact with external
  • Experience building evaluation systems for agents, including task-level evaluations, behavioral
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