Sr. Full Stack Software Engineer – AI Agents

Jobgether; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Full-time employment

Remote work opportunity for candidates

Work on production-grade multi-agentAI

Collaboration with technical leaders

Job summary

Jobgether is seeking a Sr. Full Stack Software Engineer – AI Agents based in the United States.

You will design and deliver production-grade multi-agent systems on Google Cloud Platform, using ADK and Gemini models on Vertex AI to create, orchestrate, and integrate intelligent agents with APIs and enterprise systems. Responsibilities include building full-stack applications, secure authentication with OAuth 2.0/OIDC/JWT, deploying on Cloud Run, and developing agent evaluation suites with

Qualifications

• Bachelor's degree or equivalent practical experience.
• Proven full-stack engineering experience on GCP.
• Hands-on AI agents with Google's ADK.
• Strong ADK definitions, tool design, and state handling.
• Experience multi-agent systems with clear context and duties.
• Experience with evaluation loops, tracing, and prompt/tool improvements.
• Frontend TS and modern frameworks; REST API integration with streaming data.
• Backend and relational database design with PostgreSQL and migrations.
• OAuth/OIDC/JWT authentication & authorization expertise.
• GA/CI/CD pipelines for frontend, backend, and agent workflows.
• German/other language skills not required; strong communication.

Responsibilities

• Design multi-agent architectures and manage sessions/state.
• Develop and deploy AI agents with ADK and Gemini on Vertex AI.
• Build integrations via REST APIs and MCP for enterprise systems.
• Create full-stack apps with modern web interfaces and APIs.
• Implement frontend experiences with TypeScript and secured sessions.
• Design PostgreSQL schemas and migrations; ensure secure auth.
• Deploy on GCP using Cloud Run and Agent Engine.
• Integrate Gemini models, prompt design, and function calls.
• Develop automated agent evaluation suites and feedback loops.
• Instrument observability: logging, tracing, monitoring.
• Leverage Claude and AI tools for architecture and code reviews.
• Establish automated testing and CI/CD across the stack.
• Document architecture and operational procedures for teams.

Skills

Full-stack software engineering

GCP

ADK usage

TypeScript

REST APIs

OAuth 2.0

OIDC

JWT

PostgreSQL

Vertex AI

Gemini models

Cloud Run

CI/CD

Observability tools

AI agents

JavaScript/TypeScript

MCP

Claude/AI tools

Education

Bachelor's degree in Computer Science or equivalent

Tools

Google Cloud ADK

Vertex AI

Cloud Run

PostgreSQL

OAuth 2.0/OIDC/JWT

Gemini Enterprise

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Full Stack Software Engineer – AI Agents based in the United States.

The Sr. Full Stack Software Engineer – AI Agents will design and deliver production-ready applications powered by sophisticated multi-agent systems on Google Cloud Platform (GCP). This hands-on role combines AI agent engineering, backend development, and modern frontend implementation to build complete, user-facing solutions. You will use Google's Agent Development Kit (ADK) and Gemini models on Vertex AI to create, orchestrate, and integrate intelligent agents with enterprise systems and APIs. A key focus will be ensuring agent reliability through automated evaluations, tracing, monitoring, and continuous feedback loops. Working closely with technical leadership, engineering teams, and customer stakeholders, you will contribute across the full development lifecycle, from architecture and implementation to deployment and ongoing operations. AI-assisted coding tools and concurrent agent workflows will be an integral part of your daily engineering practice.

Accountabilities

• Design multi-agent architectures, defining agent roles, responsibilities, delegation patterns, tool boundaries, and session and state management.
• Develop and deploy AI agents using Google's Agent Development Kit (ADK), including sequential, parallel, and loop workflows.
• Build agent tools and integrations that connect with customer and third-party systems through REST APIs and the Model Context Protocol (MCP).
• Develop full-stack applications, including modern web interfaces, backend services, and APIs that make agent capabilities accessible to end users.
• Build frontend experiences using TypeScript and modern component frameworks, supporting agent interactions, streaming responses, and authenticated user sessions.
• Design backend services and relational databases, including PostgreSQL schemas and version-controlled database migrations.
• Implement secure authentication and authorization for applications and agent tool calls using OAuth 2.0, OpenID Connect (OIDC), and JSON Web Tokens (JWT).
• Deploy and operate agents and application services on Google Cloud Platform using Cloud Run and Agent Engine, supporting managed environments and release processes.
• Integrate Gemini models through Vertex AI, implementing prompt design, function calling, and structured output.
• Develop and maintain agent evaluation suites, automated scoring, tracing, and feedback loops to measure quality, identify regressions, and improve prompts, tools, and agent architecture.
• Instrument agents and services with logging and observability capabilities to support production monitoring, troubleshooting, and debugging.
• Use Claude and other AI coding assistants to accelerate architecture, implementation, test generation, and code reviews, including coordinating multiple agents concurrently while validating all generated outputs.
• Establish automated testing and CI/CD practices across the stack, including unit, integration, frontend, end-to-end, and agent behavior regression tests.
• Participate in code reviews and document system architecture, technical decisions, and operational procedures for internal teams and customer stakeholders.

Requirements

• Bachelor's degree in Computer Science or equivalent practical experience.
• Professional full-stack software engineering experience, including delivering and operating production applications on Google Cloud Platform.
• Hands-on experience building and deploying AI agents using Google's Agent Development Kit (ADK).
• Strong knowledge of ADK agent definitions, tool design, session management, and state handling.
• Experience designing multi-agent systems, including agent delegation, sequential and parallel execution, loop workflows, and clearly defined context and responsibilities.
• Demonstrated experience building agent quality feedback loops, including evaluation datasets, automated output scoring, tracing, and iterative improvements to prompts, tools, and agent structures.
• Frontend development experience with TypeScript and a modern component framework, including REST API integration, streaming responses, and authenticated sessions.
• Backend service and API development experience, with knowledge of relational database design, particularly PostgreSQL, and versioned schema migrations.
• Strong understanding of web application authentication and authorization using OAuth 2.0, OIDC, and JWT.
• Experience deploying and operating agents and application services on GCP, particularly Cloud Run and Agent Engine.
• Practical experience with Gemini models on Vertex AI, including prompt engineering, function calling, and structured output.
• Experience integrating agent tools and external systems through MCP and REST APIs.
• Daily experience using Claude or other AI coding assistants for software design, implementation, testing, and review, including managing multiple AI agents concurrently.
• Strong engineering judgment and the ability to verify, troubleshoot, and correct AI-generated code and outputs.
• Experience implementing automated testing and CI/CD pipelines across frontend, backend, and agent workflows.
• Strong problem-solving, communication, collaboration, and documentation skills, with the ability to work effectively alongside technical leads, engineers, and customer stakeholders.
• Familiarity with the Agent-to-Agent (A2A) protocol.
• Experience with retrieval and grounding solutions, such as Vertex AI Search or vector search.
• Knowledge of observability tools and frameworks, including Cloud Trace, Cloud Logging, and OpenTelemetry.
• Experience with Google Cloud services such as Pub/Sub, Memorystore, and BigQuery.
• Experience integrating AI agents with Gemini Enterprise.
• Google Cloud Professional certifications.

Benefits

• Full-time employment.
• Remote work opportunity for candidates located in the United States.
• Opportunity to work on production-grade multi-agent AI systems using Google Cloud technologies and modern AI development tools.
• Collaboration with technical leaders, engineering teams, and customer stakeholders on complex AI-powered applications.
• Professional growth through hands-on work with emerging agent architectures, cloud infrastructure, and AI-assisted engineering practices.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.