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Contract Typescript Developer Jobs in Illinois (NOW HIRING)

Medline

Mpower Software Engineering Manager

Northbrook, IL · On-site

$134K - $201K/yr

Coach, mentor, and develop team members across front-end technologies (React, TypeScript) and ... Manage relationships with technology vendors and third-party service providers, including contract ...

Staffingine LLC

Frontend Software Engineer

Moline, IL · On-site

Contract * This position works with the engineering lead and tech leads to analyze requirements ... ReactJS & TypeScript: Strong proficiency in building modular, reusable UI components and managing ...

Paychex

Python Developer IV

Chicago, IL · Remote

$111K - $174K/yr

... TypeScript and Python to join our team. The ideal candidate will have a minimum of 5-7 years of ... Benefits for part-time, contract, and intern roles may vary. Not sure if you meet every requirement?

Anagh Technologies, Inc.

Principal React Engineer

Chicago, IL · On-site

$139K - $186K/yr

Principal React Engineer , Location - Remote-- Chicago, IL Contract. 15+ years Experience Principal ... HTML (Typescript is a plus) * Strong expertise consuming RESTful APIs * Modern knowledge of ...

Tempus

Senior Software Engineer II, Data Products

Chicago, IL · On-site

$126K - $166K/yr

Design, implement, and test complex production backend web services in TypeScript, serving as a ... Strong familiarity with CI/CD pipelines, immutable data patterns, and DevOps practices. • Domain ...

Tempus

Senior Software Engineer, OS Ecosystem

Chicago, IL · On-site

$110K - $160K/yr

... contracts between producers and consumers, using cloud object storage and data warehousing ... Implement, test, and support backend web services and data pipelines in TypeScript, and Python ...

DRW

Senior Software Engineer - DeFi

Chicago, IL · On-site

$126K - $166K/yr

... contract ABIs, and libraries like ethers.js or web3.js • Familiarity with DeFi protocols: AMMs ... TypeScript • A solid understanding of micro-service architectures • Proficiency in domain ...

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Contract Typescript Developer information

What are some typical challenges a Contract Typescript Developer might face when joining a new project?

As a Contract Typescript Developer, you may encounter challenges such as quickly adapting to an existing codebase, aligning with the team's development standards, and understanding project-specific workflows. Since contract roles often require rapid onboarding, you might need to familiarize yourself with various tools, libraries, and deployment processes in a short timeframe. Additionally, effective communication with remote or cross-functional teams is essential to ensure smooth collaboration and timely delivery of tasks.

What are the key skills and qualifications needed to thrive as a Contract Typescript Developer, and why are they important?

To thrive as a Contract Typescript Developer, you need a strong command of TypeScript, JavaScript, and web development fundamentals, often backed by a degree in computer science or relevant experience. Familiarity with frameworks like React or Angular, version control (Git), and experience with build tools and CI/CD systems are typically required. Excellent problem-solving, communication, and time management skills help developers stand out, especially in remote or fast-paced contract environments. These abilities ensure high-quality, maintainable code and seamless collaboration with diverse teams, which is vital for delivering successful projects on time.

What is a Contract Typescript Developer?

A Contract Typescript Developer is a software professional who specializes in using the TypeScript programming language to build and maintain web and software applications on a contractual basis. Unlike full-time employees, contract developers are typically hired for specific projects or timeframes, providing flexibility for both the developer and the employer. TypeScript is a superset of JavaScript that adds static typing, which helps in catching errors early and improving code quality. These developers often work remotely or on-site, collaborating with teams to deliver high-quality code solutions. Their expertise is highly sought after for projects requiring scalable, maintainable, and robust applications.
What are the most commonly searched types of Typescript Developer jobs in Illinois? The most popular types of Typescript Developer jobs in Illinois are:
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Contract Typescript Developer jobs near you
GCP Gemini AI Developer

GCP Gemini AI Developer

Co-Sourcing Partners

Chicago, IL • On-site

Full-time

Re-posted 14 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) Outcome What Success Looks Like Measurement 1. Gemini-Powered Solutions Deployed Design, 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 Architecture Build 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 Workflows Implement 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 Enablement Partner 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 Optimization Monitor, 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

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