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Remote Net Core Developer Jobs in Illinois (NOW HIRING)

Remote / Hybrid - Chicago preferred Employment Type: Contract / Full-Time Reports To: GCP Technical ... Core Responsibilities * Design and deploy Gemini 1.5 Pro/Flash integrations via Vertex AI and ...

Location(s) Chicago, Illinois, Downers Grove, Illinois, Remote-AL, Remote-CT, Remote-FL, Remote-GA ... Architect cross-functional data solutions that integrate data from core insurance systems (e.g ...

Location(s) Chicago, Illinois, Downers Grove, Illinois, Remote-AL, Remote-CT, Remote-FL, Remote-GA ... Architect cross-functional data solutions that integrate data from core insurance systems (e.g ...

Sr Product Manager, New Revenue

Chicago, IL ยท On-site +1

$130K - $172K/yr

You will partner closely with a core team of engineers, designers, and growth experts with the ... Employee divides their time between in-office and remote work. Access to an office location is ...

We're seeking a Senior Crawl Engineer to be part of our professional services team. This role ... core. This job is at the heart of crawler operations: to configure and manage crawls, process ...

We're seeking a Senior Crawl Engineer to be part of our professional services team. This role ... core. This job is at the heart of crawler operations: to configure and manage crawls, process ...

We're seeking a Senior Crawl Engineer to be part of our professional services team. This role ... core. This job is at the heart of crawler operations: to configure and manage crawls, process ...

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Remote Net Core Developer information

See Illinois salary details

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How much do remote net core developer jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for remote net core developer in Illinois is $52.07, according to ZipRecruiter salary data. Most workers in this role earn between $44.95 and $59.42 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Net Core Developer position, and why are they important?

To thrive as a Remote Net Core Developer, you need strong programming skills in C#, expertise in .NET Core frameworks, and experience with RESTful APIs, databases, and version control systems, typically supported by a relevant degree or equivalent experience. Familiarity with cloud platforms like Azure or AWS, containerization tools such as Docker, and certifications like Microsoft Certified: .NET Developer can enhance your technical toolkit. Excellent problem-solving, communication, and self-management skills are essential for effective collaboration in distributed teams. These abilities are vital for delivering high-quality software solutions and maintaining productivity in a remote work environment.

What is a Remote Net Core Developer job?

A Remote .NET Core Developer is a software developer who specializes in building applications using Microsoft's .NET Core framework while working remotely. They design, develop, test, and maintain back-end services, APIs, and web applications. These professionals typically work with cloud technologies, databases, and front-end frameworks to build scalable and efficient solutions. Remote .NET Core Developers collaborate with teams using version control systems, Agile methodologies, and communication tools. Their role requires strong programming skills in C#, knowledge of RESTful APIs, and experience with cloud platforms like Azure or AWS.

What does a typical workday look like for a Remote Net Core Developer?

A typical day for a Remote Net Core Developer often involves collaborating with team members via online meetings, writing and reviewing code, troubleshooting issues, and implementing new features following Agile methodologies. Developers frequently interact with product managers, QA testers, and other stakeholders to understand requirements and ensure seamless integration of backend services. Effective time management and self-discipline are important, as most tasks are managed independently or within distributed teams. This setup allows flexibility but also requires clear communication and proactive participation to keep projects on track.

What are the most commonly searched types of Net Core Developer jobs in Illinois? The most popular types of Net Core Developer jobs in Illinois are:
What are popular job titles related to Remote Net Core Developer jobs in Illinois? For Remote Net Core Developer jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Remote Net Core Developer jobs in Illinois look for? The top searched job categories for Remote Net Core Developer jobs in Illinois are:
What cities in Illinois are hiring for Remote Net Core Developer jobs? Cities in Illinois with the most Remote Net Core Developer job openings:
GCP Gemini AI Developer

GCP Gemini AI Developer

CoSourcing Partners

Chicago, IL โ€ข On-site, Remote

Other

Posted 4 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