Skills this job asks for
AndroidLLMsEnglish
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Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal: ask the recruiter.
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No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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Can’t check pay against the visa rulesNo salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400).
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✓
Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Can’t check pay against the visa rules
- No salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400). Source: https://www.gov.uk/skilled-worker-visa/when-you-can-be-paid-less, rules effective 2025-07-22.
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Before you apply
Sponsorship unknown
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
These come from the posting’s own wording. Read the original listing to confirm. See better-fit alternatives →
About the role
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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United Kingdom