Description review
AI Phone - Senior Agent Runtime Engineer
Bjak · Remote - China · back to the listing
HR standards
61/100
needs work
Title ↔ description
75/100
solid
Reads as
Backend Engineer
96% confident
What this role officially is
software developer — ESCO, the EU occupation classification
Software developers implement or program all kinds of software systems based on specifications and designs by using programming languages, tools, and platforms.
Also known as: application developer, application programmer, solutions developer, programmer, software specialist, application software developer
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What the listing never says
- 19 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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.
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.