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Python React Develop Jobs (NOW HIRING)

Inadev

Full Stack Developer (Python/React.js)

$115K/yr

The ideal candidate has strong hands-on experience with Python, React.js, Java/Spring Boot ... Design, Develop and implement Python based enterprise solutions to meet client requirements.

Jain Global

Operations Tech Developer

New York, NY · On-site

Build and maintain full stack applications using React and Python * Develop APIs and backend services * Work with databases and data platforms including Snowflake and AWS RDS * Collaborate with ...

Diverse Lynx

React and Python (FastAPI)

Richardson, TX · On-site

$45.75 - $63/hr

Diverse Lynx is seeking a React and Python (FastAPI) developer with strong hands-on experience ... The role involves supporting analytics tools, developing optimized UI screens, and collaborating ...

Jain Global

Operations Tech Developer

New York, NY · On-site

Build and maintain full stack applications using React and Python * Develop APIs and backend services * Work with databases and data platforms including Snowflake and AWS RDS * Collaborate with ...

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How much do python react develop jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for python react develop in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.
AI Data & Python Tools Engineer for a well-known consumer device company in Cupertino, CA

AI Data & Python Tools Engineer for a well-known consumer device company in Cupertino, CA

OSI Engineering, Inc.

Cupertino, CA • On-site

Other

Posted 2 days ago

New

Job description

AI Data & Python Tools Engineer

We''re seeking an AI Data and Python Tools Engineer to develop and deploy intelligent tools that leverage big data infrastructure and modern AI architecture. This role combines strong software engineering fundamentals with the ability to build production-ready AI applications at speed, including integration with Model Context Protocol (MCP) systems.

Responsibilities:

  • Develop and deploy AI-powered full-stack applications using Python, React, and modern machine learning frameworks
  • Design and streamline data pipelines, train and validate ML models, and implement robust evaluation methods
  • Collaborate with cross-functional teams to solve complex problems and integrate scalable, cloud-based AI solutions
  • Rapidly prototype, test, and iterate on AI tools with a strong focus on performance, flexibility, and scalability
  • Maintain clear technical documentation, perform code reviews, and support the full software development lifecycle

Software Engineering & AI/ML Data, Tools Development

  • 3+ years of Python Development with a background in back end services and data processing
  • Exposure to AI/ML algorithms
  • Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn)
  • Understanding of LLMs, vector databases, and retrieval systems
  • Experience with Model Context Protocol (MCP) integration and server development

Big Data & Cloud Infrastructure

  • Knowledge of building and deploying cloud based applications
  • Hands-on experience with cloud data platforms (AWS/Google Cloud Platform/Azure)
  • Proficiency with big data technologies (Spark, Kafka, or similar streaming platforms)
  • Experience with data warehouses (Snowflake, BigQuery, Redshift) and data lakes
  • Knowledge of containerization (Docker/Kubernetes) and infrastructure as code

*Preferred Experience

  • Experience building web applications with modern frameworks (React, Vue, or Angular)
  • API development and integration experience
  • Basic UX/UI design sensibilities for internal tooling
  • Experience with real-time data processing and analytics
  • Background in building developer tools or internal platforms
  • Familiarity with AI/ML operations (MLOps) practices (Experience using airflow)
  • Experience building MCP servers and integrating with AI assistants
  • Knowledge of structured data exchange protocols and API design for AI systems.

Type: Full Time

Location: Austin, TX or Cupertino, CA (Monday- Friday onsite)

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