AI Phone - Senior Agent Runtime Engineer

Bjak · posted Nov 4, 2026

Open to candidates in United States

Full-time · Senior

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What this job asks for

Extracted by RemoteHunt

Must have

  • •Strong backend engineering experience
  • •Distributed systems and asynchronous workflows
  • •Integrating LLMs into production applications
  • •API and service architecture knowledge
  • •Queues, state management, and observability
  • •Tool calling and structured outputs

Nice to have

  • •Production agent framework or custom agent runtime
  • •Temporal or similar workflow orchestration systems
  • •Model routing and inference optimization
  • •AI evaluation and tracing

Tools and technologies

LLMs

Read the full posting

About

We are reimagining the phone. AI phones need to be proactive, intuitive, intelligent and low cost. This is a mission critical for rest of the world to adopt intelligence.

There are over 5 billion people using everyday applications such as email, messaging, notes, tasks, and calendars, yet most are not AI-native. Our mission is to build proactive applications and devices that bring intelligence into daily conversations, coordination and workflows, with minimal prompting.

Focus: Building the actual execution infrastructure for AI agents.

Responsibilities

  • Implement agent runtime and orchestration components.

  • Build tool-calling and execution interfaces.

  • Support multi-step and long-running task execution.

  • Manage task state, execution history and asynchronous workflows.

  • Implement error handling, retries and recovery mechanisms.

  • Integrate multiple model providers.

  • Build observability and tracing for agent execution.

  • Optimize latency, reliability and inference costs.

  • Work with context and memory components to provide relevant information to agents.

Requirements

  • Strong backend engineering experience.

  • Experience with distributed systems and asynchronous workflows.

  • Experience integrating LLMs into production applications.

  • Strong API and service architecture knowledge.

  • Experience with queues, state management and observability.

  • Good understanding of tool calling and structured outputs.

Nice to have

  • Production agent framework or custom agent runtime experience.

  • Experience with Temporal or similar workflow orchestration systems.

  • Experience with model routing and inference optimization.

  • Experience with AI evaluation and tracing.

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