Description

You will design and build end-to-end AI applications with a focus on agent-based systems and backend infrastructure.

Responsibilities

• Develop end-to-end applications using Python and SQL, handling 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, leveraging data structures and 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 experience in software engineering.
• 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.

Key Skills

Education

Any Graduate