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Member of Technical Staff, Agent Harness

Hark· Product Engineering
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San Jose$170k - $400kfull-timePosted 7mo ago

About the role

Backend-focused role building the high-concurrency, low-latency backend systems that power Hark's AI agent platform, including orchestration, tool execution, memory retrieval, sandboxed execution environments, and real-time streaming. High-ownership, production-grade engineering working closely with model researchers and platform engineers to enable agentic systems.

Responsibilities

  • Core Runtime Architecture: Design and build the high-concurrency backend services responsible for agent orchestration, tool execution, and real-time streaming.
  • Systems Reliability: Develop robust failure-handling, retry logic, and state management for long-running agentic workflows.
  • Platform Primitives: Architect the foundational APIs and services—including memory retrieval systems and sandboxed execution environments—that power the entire Hark ecosystem.
  • Performance Engineering: Optimize the stack for low-latency streaming and high-throughput data processing to ensure seamless agent-user interactions.
  • Full-Cycle Ownership: Lead features from low-level design and prototyping to production deployment, monitoring, and performance tuning.
  • System Observability: Implement deep instrumentation and automated evaluation frameworks to track system health and model quality regressions.

Qualifications

  • Backend & Systems Mastery: 5+ years of experience building mission-critical backend systems. Expert in concurrency, networking protocols, and distributed systems.
  • Production at Scale: Proven track record of shipping APIs and infrastructure that handle real-world traffic, with a deep understanding of horizontal scaling and 'day 2' operations.
  • AI System Intuition: Experience integrating LLMs into backend pipelines. Understand failure modes of non-deterministic systems and how to wrap them in deterministic, reliable code.
  • Language Proficiency: Strong experience in at least one systems-level language (e.g., Go, Rust, C++, or Java).
  • Infrastructure Mindset: Comfort with cloud-native architectures (AWS/GCP), container orchestration, and building secure, isolated execution sandboxes.
  • Technical Communication: Ability to articulate complex architectural tradeoffs and collaborate with model researchers to bridge AI and production-grade software.

Skills

Required:Backend engineeringSystem design and architectureAI/LLM integration
Last updated Oct 1, 2026. Interested? Apply on the company site.
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About Hark

building the most advanced personal intelligence in the world.

At Hark, we are building the most advanced personal intelligence in the world.

personal intelligenceartificial intelligence
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