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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