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AI System Engineer

Experis

 

San Francisco, CA, USA

Posted On: 10 days ago
Experience: 5+ years
Availability: Remote
Openings: 1
Category: System Engineer
Tenure: No Preference/Any
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Description

You will design and build end-to-end AI applications, focusing on agent-based systems and backend infrastructure.

This role is remote.

Responsibilities

  • Develop end-to-end applications using Python and SQL, managing data cleaning and pipeline creation.
  • Design and implement full lifecycle APIs, including CRUD operations, session management, and context management.
  • Build and optimize agent and multi-agent systems using protocols like A2A, MCP, and ADK.
  • Manage asynchronous workflows, callbacks, and streaming data to ensure efficient system performance.
  • Write complex SQL queries, including nested queries and joins, to support application logic and data retrieval.

Required Skills

  • 5+ years of professional software engineering experience.
  • Strong proficiency in Python for application development and scripting.
  • Expert-level SQL skills, including complex queries, joins, and nested structures.
  • Deep understanding of agent and multi-agent development paradigms.
  • Experience with API development, including sync/async patterns and streaming.
  • Familiarity with AI frameworks and protocols such as A2A, MCP, or ADK.
  • Solid grasp of data structures and algorithms as they apply to agent logic.

Preferred Skills

  • Experience with data pipeline creation and data cleaning processes.
  • Background in building distributed systems or microservices architectures.

Education

Any Graduate

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