Emploi Touramakhan

AI Phone - AI Systems / Agent Architect

Annonce en anglais

Bjak

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Lieu
Royaume-Uni
Zone
Hors d'Afrique — parrainage de visa (selon l'annonce)
Contrat
Temps plein
Domaine
ActAIealware
Publiée le
5 novembre 2026
Clôture
Non renseigné
Informations non fournies par la source

durée, mode de travail, salaire, référence

Source : Arbeitnow · vue sur le site d'origine le 7 novembre 2026 à 21:02 (heure de Paris) · lieu indiqué par la source : United Kingdom

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: Agent runtime, context, memory, orchestration and overall AI system architecture.

Responsibilities

  • Define the overall AI architecture for the phone.

  • Design how AI agents interact with the OS and applications.

  • Define agent runtime and orchestration architecture.

  • Design context and memory systems that allow AI to understand user activities, preferences and ongoing tasks.

  • Define how agents execute multi-step workflows across different applications.

  • Design long-running task execution, state management and recovery mechanisms.

  • Define model routing between on-device and cloud models.

  • Evaluate the feasibility of running different AI capabilities locally versus remotely.

  • Work with Android engineers to define the interfaces required for system-level AI execution.

  • Establish reliability, observability and evaluation standards.

Requirements

  • Strong backend and distributed systems engineering experience.

  • Experience building production AI agent systems or complex orchestration systems.

  • Strong understanding of LLMs, tool calling, structured outputs and agent execution.

  • Experience with stateful workflows and multi-step task execution.

  • Experience with context engineering, retrieval and memory systems.

  • Strong system design and architecture skills.

  • Ability to work across backend, AI and platform engineering.

Nice to have

  • Experience building AI assistants or agent platforms.

  • Experience with long-running autonomous workflows.

  • Experience with model routing and inference optimization.

  • Experience with on-device AI or hybrid local/cloud architectures.

  • Experience with permission-aware tool execution and agent security.

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