# AI Phone - Senior Agent Runtime Engineer at Bjak

AI Phone - Senior Agent Runtime Engineer at Bjak in India. Full-time. Posted November 4, 2026.

- Company: Bjak
- Location: India
- Job type: Full-time
- Posted: 2026-11-04
- Apply: https://jobs.ashbyhq.com/bjakcareer/df5f61b6-fcba-43d1-b922-fd606c4084fa/application
- Source: https://jobmagic.ai/jobs/ai-phone-senior-agent-runtime-engineer-bjak-f480y5

## Requirements

- Strong backend engineering experience.
- Experience with distributed systems and asynchronous workflows.
- Experience integrating LLMs into production applications.
- Strong API and service architecture knowledge.
- Experience with queues, state management and observability.
- Good understanding of tool calling and structured outputs.

## 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:** Building the actual execution infrastructure for AI agents.

### **Responsibilities**

- Implement agent runtime and orchestration components.

- Build tool-calling and execution interfaces.

- Support multi-step and long-running task execution.

- Manage task state, execution history and asynchronous workflows.

- Implement error handling, retries and recovery mechanisms.

- Integrate multiple model providers.

- Build observability and tracing for agent execution.

- Optimize latency, reliability and inference costs.

- Work with context and memory components to provide relevant information to agents.

### **Requirements**

- Strong backend engineering experience.

- Experience with distributed systems and asynchronous workflows.

- Experience integrating LLMs into production applications.

- Strong API and service architecture knowledge.

- Experience with queues, state management and observability.

- Good understanding of tool calling and structured outputs.

### **Nice to have**

- Production agent framework or custom agent runtime experience.

- Experience with Temporal or similar workflow orchestration systems.

- Experience with model routing and inference optimization.

- Experience with AI evaluation and tracing.