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AI Phone - Senior Agent Runtime Engineer

Bjak · Remote (United Kingdom)

Remote
Full-time
Senior

Posted January 21, 1970

Check your resume against this jobApply on Himalayas
AI Summary

Bjak is building AI-native phone experiences that proactively support everyday tasks like email, messaging, calendars, and notes. This senior role focuses on the execution infrastructure for AI agents: runtime and orchestration, tool-calling, long-running multi-step workflows, state management, and observability. It suits a backend engineer who enjoys distributed systems and making LLM-powered agents reliable and cost-efficient in production.

Job Description

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.

Originally posted on Himalayas

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