Sr. Full Stack Software Engineer – AI Agents

New
J
JobgetherAI software
Remote work opportunity for candidates located in the United States.Full-TimeSenior
Salary not disclosed
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Job Details

Required Skills
PostgreSQLTypeScriptRESTful APIs

Requirements

  • Bachelor's degree in Computer Science or equivalent practical experience.
  • Professional full-stack software engineering experience delivering and operating production applications on Google Cloud Platform.
  • Hands-on experience building and deploying AI agents using Google's Agent Development Kit (ADK).
  • Knowledge of ADK agent definitions, tool design, session management, and state handling.
  • Experience designing multi-agent systems, including delegation, sequential and parallel execution, and loop workflows.
  • Experience building agent quality feedback loops using evaluation datasets, automated scoring, tracing, and iterative improvements.
  • Frontend experience with TypeScript and a modern component framework, including REST API integration, streaming responses, and authenticated sessions.
  • Backend service and API development experience, including relational database design, PostgreSQL, and versioned schema migrations.
  • Understanding of web application authentication and authorization using OAuth 2.0, OIDC, and JWT.
  • Experience with Gemini models on Vertex AI, including prompt engineering, function calling, and structured output, and with agent integrations using MCP and REST APIs.
  • Daily experience using Claude or other AI coding assistants for design, implementation, testing, and review, including managing multiple AI agents concurrently.
  • Experience implementing automated testing and CI/CD pipelines across frontend, backend, and agent workflows.

Responsibilities

  • Design multi-agent architectures, including agent roles, delegation, tool boundaries, and session and state management.
  • Develop and deploy AI agents using Google's Agent Development Kit, including sequential, parallel, and loop workflows.
  • Build agent tools and integrations with customer and third-party systems through REST APIs and MCP.
  • Develop full-stack applications with modern web interfaces, backend services, and APIs.
  • Design backend services and PostgreSQL databases, including schemas and version-controlled migrations.
  • Implement authentication and authorization using OAuth 2.0, OIDC, and JWT.
  • Deploy and operate agents and application services on GCP using Cloud Run and Agent Engine.
  • Integrate Gemini models through Vertex AI, including prompt design, function calling, and structured output.
  • Develop agent evaluations, scoring, tracing, monitoring, and feedback loops; implement automated testing and CI/CD.
  • Use AI coding assistants and concurrent agent workflows, validate generated outputs, and document architecture and operational procedures.
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