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Remote Google Android Developer Jobs in Chicago, IL

CoSourcing Partners

GCP Gemini AI Developer

Chicago, IL · On-site +1

Remote / Hybrid - Chicago preferred Employment Type: Contract / Full-Time Reports To: GCP Technical ... Technical Environment Core Google Cloud Services * Vertex AI, Generative AI Studio, Gemini API

CoSourcing Partners

Edge Ops

Chicago, IL · On-site +1

$68.25 - $90/hr

Automate infrastructure provisioning using Terraform (advanced modules, remote state, workspaces ... or DevOps. * Deep, hands-on expertise with Google Distributed Cloud Edge (GDCE). * Advanced ...

Argyle Infotech

Senior Data Engineer

Chicago, IL · On-site +1

$109.30K - $148.50K/yr

This is a highly technical role requiring expertise in Google Cloud Platform (GCP) native services ... This position requires a strong commitment to working full-time onsite (with potential remote ...

RIT Solutions

Senior Data Engineer

Chicago, IL · On-site +1

$109.30K - $148.50K/yr

This is a highly technical role requiring expertise in Google Cloud Platform (GCP) native services ... This position requires a strong commitment to working full-time onsite (with potential remote ...

Voluble Systems LLC

Senior Data Engineer

Chicago, IL · On-site +1

$109.30K - $148.50K/yr

This is a highly technical role requiring expertise in Google Cloud Platform (GCP) native services ... This position requires a strong commitment to working full-time onsite (with potential remote ...

Software Technology Inc

Senior Data Engineer

Chicago, IL · On-site +1

$109.30K - $148.50K/yr

This is a highly technical role requiring expertise in Google Cloud Platform (GCP) native services ... This position requires a strong commitment to working full-time onsite (with potential remote ...

NinjaTrader

Sr. Software Test Engineer, Mobile

Chicago, IL · On-site +1

$100K - $150K/yr

Our Flutter-based platform runs on iOS and Android, and the bar for quality is high - traders make ... We are not open to remote candidates for this role. Hybrid: For Chicago-based employees, we follow ...

RIT Solutions, Inc.

Senior Data Engineer

Chicago, IL · On-site +1

$109.30K - $148.50K/yr

This is a highly technical role requiring expertise in Google Cloud Platform (GCP) native services ... This position requires a strong commitment to working full-time onsite (with potential remote ...

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All JobsRemote Google Android Developer JobsRemote Google Android Developer Jobs in Chicago, IL

Remote Google Android Developer information

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How much do remote google android developer jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote google android developer in Chicago, IL is $62.97, according to ZipRecruiter salary data. Most workers in this role earn between $55.24 and $72.55 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Google Android Developer, and why are they important?

To thrive as a Remote Google Android Developer, you need strong proficiency in Java or Kotlin, a solid understanding of Android SDK, and experience with mobile app architecture, typically backed by a relevant degree or portfolio. Familiarity with development tools such as Android Studio, Git, Firebase, and knowledge of publishing on Google Play is essential. Effective communication, self-motivation, and time management are crucial soft skills for remote collaboration and productivity. These skills ensure high-quality, robust Android applications and successful teamwork in a remote environment.

How does a Remote Google Android Developer typically collaborate with team members across different time zones?

As a Remote Google Android Developer, you will often work with cross-functional teams distributed across various locations. Collaboration is facilitated through regular video meetings, project management tools, and asynchronous communication platforms like Slack or Jira. It's important to proactively communicate progress, ask clarifying questions, and document your work clearly to ensure everyone stays aligned. Flexibility with meeting times and strong self-management skills are key to thriving in this environment.

What does a Remote Google Android Developer do?

A Remote Google Android Developer designs, builds, tests, and maintains applications for devices running the Android operating system. They primarily use programming languages such as Java or Kotlin, and collaborate with teams to develop user-friendly, high-performance mobile apps. Working remotely, they communicate via digital tools and manage their tasks independently while adhering to project requirements and deadlines. Their responsibilities also include debugging, optimizing app performance, and ensuring security and compatibility across a range of Android devices.
What are the most commonly searched types of Google Android Developer jobs in Chicago, IL? The most popular types of Google Android Developer jobs in Chicago, IL are:
What are popular job titles related to Remote Google Android Developer jobs in Chicago, IL? For Remote Google Android Developer jobs in Chicago, IL, the most frequently searched job titles are:
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What cities near Chicago, IL are hiring for Remote Google Android Developer jobs? Cities near Chicago, IL with the most Remote Google Android Developer job openings:
Remote Google Android Developer jobs near you
GCP Gemini AI Developer

GCP Gemini AI Developer

CoSourcing Partners

Chicago, IL • On-site, Remote

Other

Posted 25 days ago

Job description

Job Title: GCP Gemini AI Developer (3-5 Years Experience)
Location: Remote / Hybrid - Chicago preferred
Employment Type: Contract / Full-Time
Reports To: GCP Technical Lead / AI Program Manager
Purpose
The GCP Gemini AI Developer will design, build, and deploy intelligent applications leveraging Google Cloud's Gemini models and Vertex AI platform. This role exists to operationalize advanced GenAI capabilities - including natural language understanding, multimodal reasoning, and generative automation - within scalable, secure, and production-ready cloud environments.
The developer will work hands-on across data engineering, AI model orchestration, and API integration to create AI-driven business solutions that reduce manual effort, enhance decision-making, and unlock measurable value from enterprise data.
Key Performance Outcomes (6-12 Months)OutcomeWhat Success Looks LikeMeasurement1. Gemini-Powered Solutions DeployedDesign, develop, and deploy at least two Gemini-based AI solutions (e.g., document summarization, chat agent, or data extraction automation) using Vertex AI + Gemini APIs.Delivered to production with >90% accuracy and <2s response time.2. Scalable Cloud ArchitectureBuild a modular AI microservices framework using Cloud Run / Cloud Functions with integrated authentication, logging, and monitoring.Reusable components adopted in at least 3 future use cases.3. RAG / Context-Aware WorkflowsImplement Retrieval-Augmented Generation (RAG) pipelines combining Gemini + BigQuery or vector databases for knowledge grounding.Demonstrated 25% reduction in hallucination or response variance.4. Cross-Team EnablementPartner with Data, Automation, and AppDev teams to integrate Gemini AI into existing business workflows (e.g., UiPath, Power Platform, or ServiceNow).Minimum of 2 successful integrations with documented ROI.5. Continuous OptimizationMonitor, retrain, and improve AI models via Vertex AI pipelines and Model Monitoring.Demonstrated 15% performance gain over baseline models.Core Responsibilities
  • Design and deploy Gemini 1.5 Pro/Flash integrations via Vertex AI and Generative AI Studio.
  • Build serverless APIs and backend services for AI workflows using Cloud Run, Functions, or App Engine.
  • Develop data ingestion and preprocessing pipelines using BigQuery, Dataform, and Pub/Sub.
  • Apply prompt engineering and parameter tuning to improve generative model accuracy.
  • Implement RAG pipelines leveraging Vertex Matching Engine or Pinecone.
  • Collaborate with automation and data teams to embed AI into existing business processes.
  • Maintain compliance with security, privacy, and model governance standards.

Technical Environment
Core Google Cloud Services
  • Vertex AI, Generative AI Studio, Gemini API
  • BigQuery, BigQuery ML, Dataform
  • Cloud Run, Cloud Functions, Cloud Storage
  • Pub/Sub, Secret Manager, IAM, Cloud Build

Programming Stack
  • Python or TypeScript (Google Cloud SDKs, google-generativeai, aiplatform)
  • FastAPI / Flask / Node.js
  • LangChain / LlamaIndex for orchestration
  • SQL, Pandas, and Jupyter for data prep

Complementary Tools
  • Terraform (IaC)
  • GitHub / GitLab CI/CD
  • Vertex AI Pipelines & Model Registry
  • Vector DB (Vertex Matching Engine, Pinecone, or Weaviate)

Ideal Profile
  • 3-5 years hands-on GCP development experience with AI/ML exposure
  • Strong working knowledge of Vertex AI, Gemini models, and RAG pipeline design
  • Demonstrated ability to move AI prototypes into production
  • Strong communicator, able to collaborate across automation, data, and cloud teams
  • Curious problem-solver passionate about applied AI innovation

Success Metrics
  • Speed to Delivery: End-to-end deployment within 8-10 weeks per use case
  • Model Effectiveness: >90% accuracy or relevance rating from business stakeholders
  • Scalability: Framework reused for 3 additional AI initiatives
  • Business Impact: 25%+ improvement in productivity or efficiency from deployed use cases

Apply