Senior Full Stack Software Engineer – AI Agents

Ontrac Solutions

. Design the multi-agent architecture for the solution, including agent roles, delegation, tool boundaries, and state handling .

Posted 11/2/2026full-timeRemote • Illinois • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in full stack software engineering with a focus on building and deploying AI agents using Google's Agent Development Kit (ADK) and Google Cloud Platform (GCP). Proficient in designing multi-agent systems, implementing robust testing frameworks, and ensuring high-quality agent performance through feedback loops and observability tools.

Highest-signal resume keywords

Full Stack Software EngineeringGoogle Cloud Platform (GCP)Agent Development Kit (ADK)TypeScript Frontend DevelopmentAutomated Testing and CI/CD

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Multi-Agent System DesignAgent Definitions and Tool DesignRelational Database DesignOAuth 2.0 / OIDC AuthenticationGemini Models on Vertex AIREST API DevelopmentAgent-to-Agent (A2A) ProtocolAutomated Scoring of Agent OutputVersioned Schema MigrationsFeedback Loops for Agent Quality

Soft Skills

Collaboration with Technical LeadsDocumentation SkillsCode Review Participation

Tools & Technologies

Cloud RunAgent EngineCloud TraceCloud LoggingOpenTelemetryPub/SubMemorystoreBigQueryClaude AI Coding AssistantVertex AI Search

Certifications & Qualifications

Google Cloud Professional Certifications

Industry Keywords

AI AgentsProduction DeliveryUser WorkflowsState ManagementIntegration with Third-Party Systems

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformPostgresTypeScript

About the role

Key responsibilities & impact

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 backend services that expose the agents to users, including user workflows and APIs
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 for production inspection and debugging
Use Claude and multi-agent workflows to accelerate design, implementation, test generation, and code review while remaining accountable for delivered code
Deliver unit, integration, end-to-end, and agent evaluation test coverage
Participate in code reviews
Document architecture and operating procedures for the team and customer
Work closely with the technical lead, other engineers, and customer stakeholders from initial definition through final delivery

Requirements

What you’ll need

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

Benefits

Comp & perks

Contractor program
Remote work within the United States