React, Angular, or Vue * Cloud AI/ML services across Azure, Amazon Web Services (AWS), and Google ... In this Manager role, you will lead teams delivering end-to-end (full stack) Generative AI (GenAI ...
React, Angular, or Vue * Cloud AI/ML services across Azure, Amazon Web Services (AWS), and Google ... In this Manager role, you will lead teams delivering end-to-end (full stack) Generative AI (GenAI ...
Optimizing components for maximum performance across a vast array of web-capable devices and browsers Our Tech Stack : * Svelte.js * React.js * Jest.js (Testing) * Tailwind * Typescript * GraphQL
Optimizing components for maximum performance across a vast array of web-capable devices and browsers Our Tech Stack : * Svelte.js * React.js * Jest.js (Testing) * Tailwind * Typescript * GraphQL
Optimizing components for maximum performance across a vast array of web-capable devices and browsers Our Tech Stack : * Svelte.js * React.js * Jest.js (Testing) * Tailwind * Typescript * GraphQL
Optimizing components for maximum performance across a vast array of web-capable devices and browsers Our Tech Stack : * Svelte.js * React.js * Jest.js (Testing) * Tailwind * Typescript * GraphQL
JavaScript Tutor
Tulsa, OK · Remote
$18 - $40/hr
... React and Node.js. Ability to explain callback functions, scope and hoisting, and the event loop while preparing students for web development careers and full-stack engineering coursework.
JavaScript Tutor
Tulsa, OK · Remote
$18 - $40/hr
... React and Node.js. Ability to explain callback functions, scope and hoisting, and the event loop while preparing students for web development careers and full-stack engineering coursework.
React Full Stack information
See Tulsa, OK salary details
$21.96 - $27.11
1% of jobs
$27.11 - $32.26
3% of jobs
$32.26 - $37.41
5% of jobs
$37.41 - $42.55
7% of jobs
$45.22 is the 25th percentile. Wages below this are outliers.
$42.55 - $47.70
16% of jobs
$47.70 - $52.85
17% of jobs
The median wage is $53.01 / hr.
$52.85 - $58
18% of jobs
$61.12 is the 75th percentile. Wages above this are outliers.
$58 - $63.15
13% of jobs
$63.15 - $68.30
9% of jobs
$68.30 - $73.45
6% of jobs
$73.45 - $78.60
4% of jobs
$21
$54
$78
How much do react full stack jobs pay per hour?
As of Jul 31, 2026, the average hourly pay for react full stack in Tulsa, OK is $54.13, according to ZipRecruiter salary data. Most workers in this role earn between $45.00 and $62.36 per hour, depending on experience, location, and employer.
What is a React Full Stack developer?
A React Full Stack developer is a software engineer who specializes in building both the front-end and back-end of web applications using React for the user interface and various technologies (like Node.js, Express, and databases) for the server-side. They are responsible for designing, developing, and maintaining the entire application stack, ensuring seamless integration between the client and server. This role requires proficiency in JavaScript, familiarity with RESTful APIs, and experience with databases such as MongoDB or PostgreSQL. React Full Stack developers often work closely with designers and other developers to deliver responsive, scalable, and efficient web solutions.
What are the key skills and qualifications needed to thrive as a React Full Stack Developer, and why are they important?
To thrive as a React Full Stack Developer, you need strong proficiency in JavaScript, React, Node.js, and a solid understanding of both front-end and back-end web development, typically supported by a degree in computer science or relevant experience. Familiarity with RESTful APIs, version control systems like Git, and deployment tools such as Docker or AWS is highly valuable. Excellent problem-solving, communication, and teamwork skills help you collaborate effectively and adapt to changing project requirements. These skills ensure you can build scalable, maintainable applications and contribute to dynamic development teams.
What is the difference between React Full Stack vs React Front End Developer?
| Aspect | React Full Stack | React Front End Developer |
|---|---|---|
| Required Skills | JavaScript, React, Node.js, databases, API integration | JavaScript, React, HTML, CSS |
| Work Environment | Both front-end and back-end development, often in full project teams | Primarily front-end development, UI/UX focus |
| Industry Usage | Web applications requiring full-stack capabilities | UI design, client-side interfaces |
| Certifications | Often includes full-stack or JavaScript certifications | Focus on front-end or UI/UX certifications |
React Full Stack developers handle both front-end and back-end development, working with databases and server-side logic. React Front End Developers focus solely on creating engaging user interfaces using React. The choice depends on whether you want to work across the entire application or specialize in UI design.
How does a React Full Stack developer typically collaborate with designers and backend engineers on a project?
As a React Full Stack developer, you’ll often act as a bridge between frontend designers and backend engineers. You’ll translate UI/UX designs into interactive React components while ensuring they integrate seamlessly with backend APIs or databases. Effective communication is essential—expect to participate in regular standups, code reviews, and joint planning sessions to align on functionality, resolve bugs, and optimize performance. This collaborative workflow not only speeds up development but also ensures a cohesive end product that meets both technical and user requirements.
Deloitte rating
8.1
Based on 91 frontline employees who took The Breakroom Quiz
56th of 149 rated financial services
Job description
Deloitte professionals help organizations navigate business risks and opportunities across financial, operational, information technology (IT), and regulatory areas. In this Manager role, you will lead teams delivering end-to-end (full stack) Generative AI (GenAI) solutions-including Retrieval-Augmented Generation (RAG) and agentic AI-from strategy and architecture through build, deployment, and adoption.
Recruiting for this role ends on July 31st, 2026
Work you'll do
- Lead client discovery, requirements, and solution shaping; translate needs into architecture, technical specifications, delivery plans, and acceptance criteria.
- Design, build, and implement custom AI/GenAI solutions tailored to business workflows and risk considerations.
- Architect and optimize agentic AI systems (e.g., tool-using agents, multi-step orchestration, multi-agent patterns) and integrate with enterprise platforms.
- Lead end-to-end RAG implementations including ingestion, preprocessing, chunking, embeddings, indexing, retrieval, orchestration, and evaluation.
- Drive GenAI model build activities (training, fine-tuning, validation), benchmarking, and continuous improvement of quality, safety, latency, and cost.
- Oversee model deployment and production operations (monitoring, observability, incident response, iteration).
- Lead development pods (planning, quality, delivery), including code/design reviews, mentoring, and engineering best practices.
- Collaborate with cross-functional stakeholders (product, data, security, risk/compliance) to deliver scalable, maintainable solutions.
- Evaluate emerging GenAI/agent frameworks and cloud services; prototype and recommend fit-for-purpose approaches.
The team
Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.
Qualifications
Required:
- Bachelor's degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field.
- 6+ years of relevant experience in software engineering/full stack development and delivering AI/ML or GenAI-enabled solutions.
- Experience leading teams and delivering client-facing solutions with clear ownership for quality and timelines.
- Required technical skills (must have):
- GenAI / NLP / Agentic AI
- Python programming
- Natural Language Processing (NLP)
- Agentic AI, including LangChain, LangGraph, and LlamaIndex
- RAG (Retrieval-Augmented Generation)
- Prompt engineering
- Vector databases (design/usage/integration)
- Model build + deployment
- GenAI model build: training, fine-tuning, validation
- Model deployment (serving patterns, monitoring, iteration)
- Containers (e.g., Docker)
- Data engineering + APIs
- ETL (extract, transform, load) and data engineering (pipelines, quality, preprocessing)
- FastAPI (or equivalent) to build backend services
- API development and integration (RESTful services)
- Full stack engineering
- JavaScript/TypeScript
- HTML/CSS plus SASS/LESS
- UI/UX design principles
- Front-end frameworks: React, Angular, or Vue
- Cloud AI/ML services across Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP)
- Vertex AI experience
- You should reside within a commutable distance of your assigned office with the ability to commute daily, if required
- You can expect to co-locate on average 3 times a week with variations based on types of work/projects and client locations
- Ability to travel up to 50%, on average, based on the work you do and the clients/sectors you serve
- Limited immigration sponsorship may be available.
Preferred:
- Cloud certification (AWS, Azure, or GCP) and/or AI/ML certification.
- Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
- Familiarity with AI/GenAI ethics and governance frameworks and implementing controls in production.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $151,470 to $218,025.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Qualifications:Deloitte professionals help organizations navigate business risks and opportunities across financial, operational, information technology (IT), and regulatory areas. In this Manager role, you will lead teams delivering end-to-end (full stack) Generative AI (GenAI) solutions-including Retrieval-Augmented Generation (RAG) and agentic AI-from strategy and architecture through build, deployment, and adoption.
Recruiting for this role ends on July 31st, 2026
Work you'll do
- Lead client discovery, requirements, and solution shaping; translate needs into architecture, technical specifications, delivery plans, and acceptance criteria.
- Design, build, and implement custom AI/GenAI solutions tailored to business workflows and risk considerations.
- Architect and optimize agentic AI systems (e.g., tool-using agents, multi-step orchestration, multi-agent patterns) and integrate with enterprise platforms.
- Lead end-to-end RAG implementations including ingestion, preprocessing, chunking, embeddings, indexing, retrieval, orchestration, and evaluation.
- Drive GenAI model build activities (training, fine-tuning, validation), benchmarking, and continuous improvement of quality, safety, latency, and cost.
- Oversee model deployment and production operations (monitoring, observability, incident response, iteration).
- Lead development pods (planning, quality, delivery), including code/design reviews, mentoring, and engineering best practices.
- Collaborate with cross-functional stakeholders (product, data, security, risk/compliance) to deliver scalable, maintainable solutions.
- Evaluate emerging GenAI/agent frameworks and cloud services; prototype and recommend fit-for-purpose approaches.
The team
Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.
Qualifications
Required:
- Bachelor's degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field.
- 6+ years of relevant experience in software engineering/full stack development and delivering AI/ML or GenAI-enabled solutions.
- Experience leading teams and delivering client-facing solutions with clear ownership for quality and timelines.
- Required technical skills (must have):
- GenAI / NLP / Agentic AI
- Python programming
- Natural Language Processing (NLP)
- Agentic AI, including LangChain, LangGraph, and LlamaIndex
- RAG (Retrieval-Augmented Generation)
- Prompt engineering
- Vector databases (design/usage/integration)
- Model build + deployment
- GenAI model build: training, fine-tuning, validation
- Model deployment (serving patterns, monitoring, iteration)
- Containers (e.g., Docker)
- Data engineering + APIs
- ETL (extract, transform, load) and data engineering (pipelines, quality, preprocessing)
- FastAPI (or equivalent) to build backend services
- API development and integration (RESTful services)
- Full stack engineering
- JavaScript/TypeScript
- HTML/CSS plus SASS/LESS
- UI/UX design principles
- Front-end frameworks: React, Angular, or Vue
- Cloud AI/ML services across Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP)
- Vertex AI experience
- You should reside within a commutable distance of your assigned office with the ability to commute daily, if required
- You can expect to co-locate on average 3 times a week with variations based on types of work/projects and client locations
- Ability to travel up to 50%, on average, based on the work you do and the clients/sectors you serve
- Limited immigration sponsorship may be available.
Preferred:
- Cloud certification (AWS, Azure, or GCP) and/or AI/ML certification.
- Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
- Familiarity with AI/GenAI ethics and governance frameworks and implementing controls in production.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $151,470 to $218,025.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Education:Bachelor's DegreeEmployment Type: