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Senior Full Stack Engineer – Google Cloud Platform, Gemini & AI Agents

SSTech LLC

Seattle, Washington • Today

Easy Apply

Third Party, Contract

Depends on Experience

Job Details

Skills

API
AngularJS
Application Development
Artificial Intelligence
Authentication
Authorization
Cloud Computing
Automated Testing
Communication
Css3
Good Clinical Practice
Debugging
Google Cloud
Docker
Conflict Resolution
Backend Development
Google Cloud Platform
HTML5
Cascading Style Sheets
Collaboration
Generative Artificial Intelligence (AI)
Continuous Delivery
Continuous Integration
Node.js
Scalability
Software Architecture
Large Language Models (LLMs)
Management
Git
Interfaces
Problem Solving
Vector Databases
Vertex
Prompt Engineering
Java
JavaScript
TypeScript
Kubernetes
Microservices
Python
React.js
Workflow

API
AngularJS
Application Development
Artificial Intelligence
Authentication
Authorization
Cloud Computing
Automated Testing
Communication
Css3
Good Clinical Practice
Debugging
Google Cloud
Docker
Conflict Resolution
Backend Development
Google Cloud Platform
HTML5
Cascading Style Sheets
Collaboration
Generative Artificial Intelligence (AI)
Continuous Delivery
Continuous Integration
Node.js
Scalability
Software Architecture
Large Language Models (LLMs)
Management
Git
Interfaces
Problem Solving
Vector Databases
Vertex
Prompt Engineering
Java
JavaScript
TypeScript
Kubernetes
Microservices
Python
React.js
Workflow

Summary

Hi,

We do have an urgent requirement for the below position with our direct client, Please submit Resume, Rate and Contact details.

Job Title: Senior Full Stack Engineer - Google Cloud Platform, Gemini & AI Agents
Location: Seattle, WA | Atlanta, GA
Duration: Long-term

Job Description

We are seeking an experienced Senior Full Stack Engineer with strong expertise in front-end and back-end development, Google Cloud Platform (Google Cloud Platform), and Generative AI technologies. The ideal candidate will design, develop, and deploy scalable applications integrated with AI agents using Google Gemini and Vertex AI.

Key Responsibilities:

Design, develop, and maintain scalable full-stack applications using React or Angular and Java, Node.js, or Python.
Build responsive, user-friendly front-end interfaces and robust back-end services and REST APIs.
Develop and integrate AI-powered applications and intelligent agents using Google Gemini and Vertex AI.
Leverage Google Cloud Platform services to build, deploy, and manage cloud-native applications.
Integrate Large Language Models (LLMs) into enterprise applications to enable AI-driven workflows and automation.
Collaborate with product managers, architects, and cross-functional teams to define technical requirements and deliver solutions.
Implement secure coding practices, automated testing, CI/CD pipelines, and application monitoring.
Troubleshoot performance issues and optimize application scalability, reliability, and maintainability.

Required Skills:

Strong experience in full-stack application development.
Front End: React.js or Angular, JavaScript/TypeScript, HTML5, and CSS3.
Back End: Strong proficiency in at least one of Java, Node.js, or Python.
Cloud: Hands-on experience with Google Cloud Platform (Google Cloud Platform).
Generative AI: Experience with Google Gemini, Vertex AI, and LLM integration.
Experience developing or integrating AI agents into applications.
Strong understanding of REST APIs, microservices, and application architecture.
Experience with Git, CI/CD pipelines, automated testing, and cloud deployments.
Strong problem-solving, debugging, and communication skills.

Preferred Qualifications:

Experience building agentic AI applications and AI-driven automation workflows.
Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases.
Experience with Vertex AI Agent Builder, Gemini APIs, or related Google Cloud AI services.
Familiarity with Docker, Kubernetes, and event-driven architectures.
Experience implementing authentication, authorization, and secure API integrations.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90943978
Position Id: 9124736
Posted 6 hours ago

Fitment

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To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Contact the job poster

Vamsi Krishna

Senior Talent Acquisition Specialist @ SSTech LLC

View Profile

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Seattle, Washington

•

Today

Job Title: Application Architect Full Stack, Google Cloud Platform, Gemini & AI AgentsJob DescriptionWe are seeking an experienced Application Architect with strong full-stack development expertise, Google Cloud Platform (Google Cloud Platform) experience, and hands-on knowledge of Generative AI, Gemini, and AI agent development. The ideal candidate will design scalable, secure, cloud-native applications and lead the integration of AI-powered capabilities into enterprise solutions. Key Responsi

Easy Apply

Contract, Third Party

Depends on Experience

Senior Full Stack AI Engineer (Vertex AI / .NET / React) -- 100% Remote --Only W2

Remote

•

4d ago

Role: Senior Full Stack AI Engineer (Vertex AI / .NET / React) Location: 100% Remote Must-Have SkillsProven experience building and deploying fine-tuned LLMs in production environments.Hands-on experience with Google Vertex AI and Gemini models.Experience performing Supervised Fine-Tuning (SFT) using LoRA adapters.Strong expertise in creating and validating JSONL training datasets.Experience building multi-source training data pipelines using structured and unstructured data.Ability to troubles

Easy Apply

Contract

Depends on Experience

AI Engineer--Remote--H1B and USC

Remote

•

5d ago

AI Engineer - Remote Job Description We are seeking a highly skilled AI Engineer to design, develop, and maintain an enterprise platform for AI agents within a Google Cloud environment. This role will involve integrating AI agents with enterprise applications and developing agent capabilities within Salesforce, leveraging advanced technologies and frameworks. Responsibilities Design, develop, and maintain an enterprise platform for building, deploying, and supporting AI agents within a Google Cl

Easy Apply

Third Party, Contract

$60 - $70

AI Lead Engineer / Architect - Only W2

Remote or Arkansas

•

Today

Role: AI Lead Engineer / Architect Remote (US) Job Type: W2 Contract Experience Level: Lead / Architect exp is a must Responsibilities: Multi-Agent Architecture & Orchestration: Lead the design and implementation of 8 specialized agents using Python, FastMCP, and Google Cloud Platform Workload Identity. Oversee inter-agent dependencies, prompt engineering lifecycle, tool definitions, and agent-to-service communication LLM Governance & Tokenomics: Enforce centralized LLM routing via LiteLLM Gatew

Easy Apply

Contract

Job Details

Skills

API
AngularJS
Application Development
Artificial Intelligence
Authentication
Authorization
Cloud Computing
Automated Testing
Communication
Css3
Good Clinical Practice
Debugging
Google Cloud
Docker
Conflict Resolution
Backend Development
Google Cloud Platform
HTML5
Cascading Style Sheets
Collaboration
Generative Artificial Intelligence (AI)
Continuous Delivery
Continuous Integration
Node.js
Scalability
Software Architecture
Large Language Models (LLMs)
Management
Git
Interfaces
Problem Solving
Vector Databases
Vertex
Prompt Engineering
Java
JavaScript
TypeScript
Kubernetes
Microservices
Python
React.js
Workflow

API
AngularJS
Application Development
Artificial Intelligence
Authentication
Authorization
Cloud Computing
Automated Testing
Communication
Css3
Good Clinical Practice
Debugging
Google Cloud
Docker
Conflict Resolution
Backend Development
Google Cloud Platform
HTML5
Cascading Style Sheets
Collaboration
Generative Artificial Intelligence (AI)
Continuous Delivery
Continuous Integration
Node.js
Scalability
Software Architecture
Large Language Models (LLMs)
Management
Git
Interfaces
Problem Solving
Vector Databases
Vertex
Prompt Engineering
Java
JavaScript
TypeScript
Kubernetes
Microservices
Python
React.js
Workflow

Summary

Hi,

We do have an urgent requirement for the below position with our direct client, Please submit Resume, Rate and Contact details.

Job Title: Senior Full Stack Engineer - Google Cloud Platform, Gemini & AI Agents
Location: Seattle, WA | Atlanta, GA
Duration: Long-term

Design, develop, and maintain scalable full-stack applications using React or Angular and Java, Node.js, or Python.
Build responsive, user-friendly front-end interfaces and robust back-end services and REST APIs.
Develop and integrate AI-powered applications and intelligent agents using Google Gemini and Vertex AI.
Leverage Google Cloud Platform services to build, deploy, and manage cloud-native applications.
Integrate Large Language Models (LLMs) into enterprise applications to enable AI-driven workflows and automation.
Collaborate with product managers, architects, and cross-functional teams to define technical requirements and deliver solutions.
Implement secure coding practices, automated testing, CI/CD pipelines, and application monitoring.
Troubleshoot performance issues and optimize application scalability, reliability, and maintainability.

Required Skills:

Strong experience in full-stack application development.
Front End: React.js or Angular, JavaScript/TypeScript, HTML5, and CSS3.
Back End: Strong proficiency in at least one of Java, Node.js, or Python.
Cloud: Hands-on experience with Google Cloud Platform (Google Cloud Platform).
Generative AI: Experience with Google Gemini, Vertex AI, and LLM integration.
Experience developing or integrating AI agents into applications.
Strong understanding of REST APIs, microservices, and application architecture.
Experience with Git, CI/CD pipelines, automated testing, and cloud deployments.
Strong problem-solving, debugging, and communication skills.

Preferred Qualifications:

Experience building agentic AI applications and AI-driven automation workflows.
Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases.
Experience with Vertex AI Agent Builder, Gemini APIs, or related Google Cloud AI services.
Familiarity with Docker, Kubernetes, and event-driven architectures.
Experience implementing authentication, authorization, and secure API integrations.

Dice Id: 90943978
Position Id: 9124736
Posted 6 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Contact the job poster

Vamsi Krishna

Senior Talent Acquisition Specialist @ SSTech LLC

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Seattle, Washington

•

Today

Easy Apply

Contract, Third Party

Depends on Experience

Senior Full Stack AI Engineer (Vertex AI / .NET / React) -- 100% Remote --Only W2

Remote

•

4d ago

Easy Apply

Contract

Depends on Experience

AI Engineer--Remote--H1B and USC

Remote

•

5d ago

Easy Apply

Third Party, Contract

$60 - $70

AI Lead Engineer / Architect - Only W2

Remote or Arkansas

•

Today

Easy Apply

Contract

Senior Full Stack Engineer – Google Cloud Platform, Gemini & AI Agents

Skills

Summary

Dice Job Match Score™

Vamsi Krishna

Similar Jobs

Senior Full Stack Engineer – Google Cloud Platform, Gemini & AI Agents

Job Details

Skills

Summary

Dice Job Match Score™

Vamsi Krishna

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