AI Phone - Agentic Engineer

Bjak

United StatesRemote onlyFull time

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Location: United States
Work style: Remote only
Job type: Full time
Posted: Nov 4; 4 days ago

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About the company

Bjak

Computer software · 501 to 1,000 employees

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.

Bjak on LinkedIn

What you'll do

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

What you need

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
Production agent infrastructure (preferred)
RAG, memory and context engineering (preferred)

Key skills

PythonGoTypeScriptLLM APIstool callingAPIdistributed systemsstate managementasynchronous execution

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Read the full posting here

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.