1

Freelance Full Stack Developer React Python Jobs in Avondale, AZ

Senior Java Full Stack Developer

Phoenix, AZ · On-site

$52.25 - $67.25/hr

Job Summary : eTeam is seeking a highly experienced Senior Java Full Stack Developer with strong expertise in Java/J2EE technologies and prior experience in the Banking or Financial Services domain.

Contribute to improving developer productivity and engineering excellence using AI-driven ... technologies ( React, Angular, or similar ) * Familiarity with GenAI tools (GitHub Copilot or ...

Senior Java Full Stack Developer

Phoenix, AZ · On-site

$52.25 - $67.25/hr

Job Summary : eTeam is seeking an experienced Senior Java Full Stack Developer with strong expertise in Java-based enterprise application development. The role involves designing, developing, testing ...

Contribute to improving developer productivity and engineering excellence using AI-driven ... React, Angular, or similar) * Familiarity with GenAI tools (GitHub Copilot or similar AI-assisted ...

Showing results 41-60

Freelance Full Stack Developer React Python information

See Avondale, AZ salary details

$23

$57

$84

How much do freelance full stack developer react python jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for freelance full stack developer react python in Avondale, AZ is $57.90, according to ZipRecruiter salary data. Most workers in this role earn between $48.12 and $66.68 per hour, depending on experience, location, and employer.

What does a freelance full stack developer specializing in React and Python do?

A Freelance Full Stack Developer with expertise in React and Python builds both the front-end and back-end components of web applications. On the front end, they use React to create dynamic user interfaces, while on the back end, they leverage Python frameworks like Django or Flask to manage databases, server logic, and APIs. As freelancers, they often work independently with various clients, handling the full software development lifecycle from requirements gathering to deployment and maintenance. Their versatility allows them to deliver complete solutions tailored to each client's needs.

What are the key skills and qualifications needed to thrive as a freelance full stack developer specializing in React and Python?

To excel as a Freelance Full Stack Developer with React and Python, you need strong proficiency in front-end (React.js) and back-end (Python, Django or Flask) development, along with a solid grasp of web architecture and APIs. Familiarity with tools like Git, cloud platforms (AWS, Azure), CI/CD pipelines, and relevant certifications such as AWS Certified Developer can be advantageous. Excellent problem-solving, time management, and client communication skills help you manage projects independently and maintain successful client relationships. These competencies ensure you can deliver high-quality, scalable solutions efficiently while meeting diverse client needs in a competitive freelance market.

How do freelance full stack developers using React and Python typically manage client communication and project timelines?

Freelance Full Stack Developers working with React and Python often juggle multiple projects and clients simultaneously. Effective communication is key—they commonly use project management tools like Trello, Asana, or Jira to keep clients updated on progress and to clarify requirements. Setting clear expectations for timelines, deliverables, and feedback cycles at the outset helps avoid misunderstandings. Proactive status updates and regular check-ins (via email, video calls, or chat platforms like Slack) are standard practices to ensure smooth collaboration and on-time delivery.

What is the difference between Freelance Full Stack Developer React Python vs Freelance Front End Developer React?

AspectFreelance Full Stack Developer React PythonFreelance Front End Developer React
SkillsProficient in React, Python, backend and frontend developmentSpecialized in React for frontend development only
Work EnvironmentHandles both client-side and server-side tasks, often in full project scopeFocuses solely on UI/UX and frontend features
CertificationsOften requires full stack or Python certificationsTypically requires React or frontend development certifications
Industry UsageUsed in projects needing comprehensive backend and frontend solutionsUsed in projects emphasizing user interface and experience

Freelance Full Stack Developer React Python professionals handle both backend and frontend tasks, offering complete solutions. In contrast, Freelance Front End Developers React focus solely on creating engaging user interfaces. Your choice depends on project scope and required expertise.

What are popular job titles related to Freelance Full Stack Developer React Python jobs in Avondale, AZ?

For Freelance Full Stack Developer React Python jobs in Avondale, AZ, the most frequently searched job titles are:

What cities near Avondale, AZ are hiring for Freelance Full Stack Developer React Python jobs?

Cities near Avondale, AZ with the most Freelance Full Stack Developer React Python job openings:

Sr. Python/AI Developer, Phoenix, AZ - Hybrid

Prohires

Phoenix, AZ • On-site

Other

Posted 6 days ago


Job description

Sr. Python/AI Developer

Location: Phoenix, AZ – 3 days/week onsite

Job Description:

Lead Software Engineer – Full Stack & Agentic AI

Position Summary:

We are seeking a highly skilled and innovative Lead Software Engineer to drive the design, development, and delivery of next-generation intelligent applications powered by Agentic AI. This role combines deep expertise in full-stack software engineering with hands-on experience building AI-powered systems, autonomous agents, Retrieval-Augmented Generation (RAG) architectures, and enterprise-scale AI solutions.

As a technical leader, you will define architecture, establish engineering standards, mentor development teams, and guide the implementation of AI-driven solutions that deliver measurable business value. You will work across the entire software development lifecycle, from requirements analysis and architecture design through implementation, deployment, and production support.

The ideal candidate possesses strong software engineering fundamentals, extensive experience with modern web technologies, and a proven track record designing and implementing Agentic AI platforms, intelligent workflows, and AI-enabled business solutions.

Key Responsibilities:

Technical Leadership

  • Lead architecture, design, and development of enterprise-grade applications and AI-enabled platforms.
  • Serve as the technical lead for complex modernization, automation, and digital transformation initiatives.
  • Drive engineering best practices, code quality standards, security requirements, and architectural governance.
  • Mentor and coach software engineers, promoting technical excellence and continuous learning.
  • Conduct design reviews, architecture reviews, and critical code reviews.
  • Full Stack Development
  • Design and develop scalable backend services using Java Spring Boot and Python.
  • Build modern, responsive web applications using Angular and React.
  • Develop and maintain RESTful APIs, microservices, and event-driven architectures.
  • Integrate applications with cloud services, external APIs, and enterprise systems.
  • Design and optimize relational database solutions using SQL Server and Oracle.
  • Agentic AI Solution Development.
  • Design and implement Agentic AI architectures capable of reasoning, planning, tool usage, memory management, and autonomous execution.
  • Build intelligent agents leveraging Large Language Models (LLMs), multi-agent orchestration, and AI workflow automation.
  • Develop Retrieval-Augmented Generation (RAG) solutions utilizing vector databases, semantic search, embeddings, and knowledge repositories.
  • Create prompt engineering frameworks, reusable prompt libraries, and evaluation methodologies.
  • Design AI evaluation, monitoring, observability, and feedback mechanisms to ensure solution quality and reliability.
  • Collaborate with business stakeholders to identify AI opportunities and translate them into production-ready solutions.
  • Implement responsible AI practices, including guardrails, security controls, and human-in-the-loop workflows.
  • Data and AI Engineering
  • Design and implement semantic data repositories, knowledge graphs, and business metadata frameworks.
  • Develop AI-powered solutions that leverage structured and unstructured enterprise data.
  • Optimize AI retrieval pipelines for performance, scalability, and accuracy.
  • Support data quality, lineage, governance, and metadata management initiatives.
  • Build scalable vector search solutions and AI-powered knowledge management platforms.
  • DevOps & Platform Engineering
  • Design and support CI/CD pipelines and automated deployment strategies.
  • Implement testing frameworks, including unit, integration, performance, and AI evaluation testing.
  • Partner with platform and infrastructure teams to deploy scalable cloud-native applications.
  • Monitor production systems and establish operational excellence practices.

Required Qualifications:

  • 8+ years of professional software engineering experience.
  • 3+ years leading technical teams or serving as a lead engineer.
  • 2+ years designing and implementing Generative AI or Agentic AI solutions in enterprise environments.
  • Demonstrated experience delivering large-scale enterprise applications from inception through production.

Technical Skills:

  • Programming Languages
  • Advanced Python development
  • Advanced Java (Spring Boot)
  • Strong SQL development

Front-End Technologies:

  • Advanced Angular
  • Advanced React

TypeScript:

  • HTML5, CSS3, JavaScript

Databases:

  • SQL Server
  • Oracle Database
  • Experience with database design, performance tuning, and optimization

AI & Machine Learning

Large Language Models (LLMs)

Agentic AI architecture and implementation

Prompt Engineering

Retrieval-Augmented Generation (RAG)

Vector Databases (e.g., Pinecone, Weaviate, Chroma, Milvus, Azure AI Search)

Embedding models

Sementic search

AI evaluation frameworks

Multi-agent orchestration

Cloud & DevOps

Azure, AWS, or Google Cloud

Docker

Kubernetes

GitHub Actions / CI-CD pipelines

Infrastructure as Code

Architecture

Microservices architecture

Event-driven architecture

API design and integration

Distributed systems

Domain-driven design

Preferred Qualifications:

  • Experience building enterprise AI platforms and AI governance frameworks.
  • Experience with Microsoft Copilot Studio, Azure AI Foundry, LangChain, LangGraph, or similar agent frameworks.
  • Experience designing knowledge graphs and semantic data models.
  • Experience implementing AI observability, evaluation, and monitoring solutions.
  • Experience with modernization and legacy transformation initiatives.
  • Experience with GitHub Copilot, AI-assisted software development, and automated code generation workflows.
  • Exposure to machine learning operations (MLOps) and AI Operations (AIOps).

Leadership Competencies:

  • Strong strategic and systems-thinking mindset.
  • Ability to translate business challenges into scalable technical solutions.
  • Excellent communication and stakeholder management skills.
  • Proven ability to influence architecture and engineering decisions across teams.
  • Strong mentoring and coaching capabilities.
  • Passion for innovation, emerging technologies, and AI-enabled transformation.