AI Phone - Agentic Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 1d ago
The date the source published, not the day we noticed it (2026-11-04). Last seen at its source 4h ago.
We have tracked this listing since 4 Nov 2026 (1 days). The employer's own board has carried it every time we have read it, most recently 4 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
China
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $84k–185k/yr
Middle 50% of 59 listings that do state pay — Engineering · all levels · APAC · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Ashby employer's own board first seen 1d ago · last seen 4h ago
The listing
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.