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Ai Pursuit Engineer

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Ai Pursuit Engineer in USA new

  • Remote

Responsibilities

  • Lead the architecture, technical direction, and execution of the Harness & Loop Engineering platform.
  • Build AI-powered development environments, agentic engineering sandboxes, automated quality engineering systems, and inference orchestration platforms.
  • Define evaluation frameworks, automated testing strategies, validation pipelines, and guardrails for AI-assisted software development.
  • Own technical architecture and final design and code review authority for AI-generated software changes.
  • Oversee GPU infrastructure, inference services, and Infinia cluster operations.
  • Evolve internal engineering platforms into scalable, externally consumable products.
  • Mentor engineers, provide architectural guidance, conduct technical interviews, and raise engineering standards.
  • Collaborate with software engineering, platform engineering, AI research, quality engineering, and product management teams.

Requirements

  • Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline; a master’s degree is preferred.
  • 12+ years of software engineering experience with demonstrated technical leadership in large-scale distributed systems.
  • Experience designing and delivering AI-assisted software development platforms or developer productivity tooling.
  • Experience using AI in correctness-critical software systems, including coding agents, automated quality engineering agents, and rigorous output evaluation.
  • Deep expertise in machine learning infrastructure, LLM inference serving, and distributed AI systems.
  • Strong experience building developer platforms, engineering tooling, and software automation frameworks.
  • Experience with agentic systems, inference orchestration, AI workflow automation, GPU clusters, AI compute infrastructure, or large-scale distributed computing.
  • Understanding of software architecture, CI/CD pipelines, automated testing frameworks, and production software lifecycle management.
  • Proven experience mentoring engineers and leading highly technical initiatives.
  • Preferred experience includes productizing internal platforms, model serving frameworks, high-performance computing, observability, platform reliability, storage systems, distributed data platforms, enterprise AI infrastructure, or open-source infrastructure projects.

DDN

DDN builds high-performance data storage and data management systems for AI, machine learning, and high-performance computing workloads used by enterprises, research institutions, and governments. It sells appliance hardware and software (including parallel file systems and AI data platforms) alo...

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