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Description review

AI Phone - Agentic Engineer

Bjak · Remote - China · back to the listing

HR standards

60/100

needs work

Title ↔ description

59/100

needs work

Reads as

Backend Engineer

83% 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

  • 18 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 agent capabilities, context, memory and orchestration.

Responsibilities

• Implement agent workflows and orchestration.

• Build integrations with different tools and applications.

• Develop context retrieval and memory mechanisms.

• Implement multi-step task execution.

• Support long-running workflows and state management.

• Improve agent reliability and execution accuracy.

• Integrate local and cloud model providers.

• Build evaluation and regression tests for agent workflows.

Requirements

• Strong backend or AI application engineering experience.

• Python, Go or TypeScript.

• Experience with LLM APIs and tool calling.

• Experience building AI applications or agent workflows.

• Strong API and distributed systems knowledge.

• Good understanding of state management and asynchronous execution.

Nice to have

• Production agent infrastructure.

• RAG, memory and context engineering.

• Model routing and inference optimization.

• Experience with mobile or operating-system integrations.