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# AI Phone - AI Systems / Agent Architect

- **Company:** Bjak
- **Location:** London, UK
- **Salary:** £65,780.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Distributed Systems, Inference Optimization, Large Language Models, Prompt Engineering, IT Architecture, Backend, Agentic-AI, Virtual Agents
- **Published:** November 6, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5954025078

## About the Role

* 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.

## Description

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.