Sr. Full Stack Software Engineer – AI Agents

Ontrac Solutions is seeking a senior full stack software engineer for a customer engagement building applications around multi-agent systems on Google Cloud Platform. The role designs, builds, deploys, and operates AI agents, backend services and APIs, and web interfaces, while developing evaluation and feedback loops to maintain reliable agent behavior.

Responsibilities:

• Design the multi-agent architecture for the solution, including agent roles, delegation, tool boundaries, and state handling
• Implement agents and tools with ADK, including integrations with customer and third-party systems over REST and MCP
• Build the web frontend and the backend services that expose the agents to users, including the user workflows and the APIs they run against
• Deploy agents and application services to GCP on Cloud Run and Agent Engine, with CI/CD and managed environments and releases
• Build and maintain evaluation suites and feedback loops that measure agent output, surface regressions, and drive changes to prompts, tools, and agent structure
• Instrument agents and services with tracing and logging so that behavior in production can be inspected and debugged
• Use Claude and multi-agent workflows to accelerate design, implementation, test generation, and code review across the full stack, with the engineer remaining accountable for the correctness of all delivered code
• Deliver unit, integration, end-to-end, and agent evaluation test coverage, participate in code reviews, and document the architecture and operating procedures for our team and the customer's

Requirements:

• Professional full stack software engineering experience, including production delivery on Google Cloud Platform
• Hands-on experience building and deploying AI agents with Google's Agent Development Kit (ADK)
• Bachelor's degree in Computer Science or equivalent practical experience
• ADK agent development, including agent definitions, tool design, and session and state management
• Design and implementation of multi-agent systems, including delegation between agents, sequential, parallel, and loop workflows, and clear boundaries for each agent's context and responsibility
• Feedback loops for agent quality: evaluation sets, automated scoring of agent output, tracing, and using the results to revise prompts, tools, and agent structure
• Frontend development with TypeScript and a modern component framework, including integrating a UI with agent and REST APIs, streaming responses, and authenticated sessions
• Backend service and API development, including relational database design (for example PostgreSQL) with versioned schema migrations
• Authentication and authorization for web applications and agent tool calls, using OAuth 2.0 / OIDC and JWT
• Deployment and operation of agents and application services on GCP using Cloud Run and Agent Engine
• Gemini models on Vertex AI, including prompt design, function calling, and structured output
• Tool integration for agents over MCP and REST APIs
• Daily use of Claude and other AI coding assistants for design, implementation, testing, and review, including running multiple agents concurrently, with the judgment to verify and correct generated output
• Automated testing and CI/CD across the stack, including frontend and end-to-end tests and regression evaluation of agent behavior
• Agent-to-Agent (A2A) protocol
• Retrieval and grounding with Vertex AI Search or vector search
• Observability for agents and services with Cloud Trace, Cloud Logging, and OpenTelemetry
• Pub/Sub, Memorystore, and BigQuery
• Integration of agents with Gemini Enterprise
• Google Cloud Professional certifications