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Tensorflow Js Jobs (NOW HIRING)

Experience with TensorFlow or PyTorch. Knowledge of Model Context Protocol (MCP). Experience with vector search and knowledge graph solutions. Required Technical Skills React.js,JavaScript,HTML5 CSS3 ...

... JS/NodeJS or .NET/C# is a plus) Architecture and systemdesign experience, with a proven track ... TensorFlow, or PyTorch) Experience designing and building scalable ML/AI systems using APIs ...

AWS Cloud Engineer

Cincinnati, OH · On-site

$53.50 - $71.50/hr

Transformers, PyTorch, TensorFlow, and LangChain, LLM, Ph.D. in AI/ML/Data Science" REQUIRED ... js. Demonstrated contributions to open-source AI/ML/Cloud projects, with either merged pull ...

Java + Angular + AI Engineer

Austin, TX · On-site

$51.25 - $70.25/hr

Strong Java development experience (Java 8+, Spring Boot, REST APIs) and Angular JS. * Hands-on experience with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn. * Hands-on experience or ...

... js). Hands-on experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Proficiency in developing and deploying AI/ML models in cloud ...

Apply Early

... js). Hands-on experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face. Proficiency in developing and deploying AI/ML models in cloud ...

Apply Early

Full Stack Engineer

San Francisco, CA · On-site

$180K - $250K/yr

Create engaging and responsive user interfaces with TypeScript (React.js, Next.js, or Angular ... Experience integrating AI/ML models into production workflows, preferably with TensorFlow, PyTorch ...

Full Stack Engineer

San Francisco, CA · On-site

$180K - $250K/yr

Create engaging and responsive user interfaces with TypeScript (React.js, Next.js, or Angular ... Experience integrating AI/ML models into production workflows, preferably with TensorFlow, PyTorch ...

... Torch, Tensorflow, scikit-learn, xgboost), visualization (e.g., matplotlib, ggplot, vega, d3.js) or data processing (e.g., Spark, Stanford CoreNLP, gensim) Relational database and SQL skills ...

... TensorFlow • Experience deploying ML or LLM systems into production environments • Strong frontend experience with React, Next.js, or Vue • Experience building APIs and backend services • ...

Agentic AI FDE

Irving, TX · On-site

$14.50 - $17.25/hr

... JS/NodeJS or .NET/C# is a plus) * Architecture and systemdesign experience , with a proven track ... TensorFlow, or PyTorch) * Experience designing and building scalable ML/AI systems using APIs ...

... js/Java/Serverless), * cloud platforms (AWS/GCP/Azure), * front-end frameworks (e.g., React/React ... Learn, TensorFlow, and PyTorch * Broaden ML Domain Knowledge: Practical experience or solid ...

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Tensorflow Js information

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How much do tensorflow js jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for tensorflow js in the United States is $26.48, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $21.15 per hour, depending on experience, location, and employer.

Is ML a high paying job?

Machine learning (ML) roles, including positions involving TensorFlow.js, are generally well-paid due to high demand for AI and data skills. Salaries vary based on experience, location, and specific responsibilities, but ML jobs tend to offer above-average compensation compared to many other tech roles.

What jobs use TensorFlow?

Jobs that use TensorFlow include machine learning engineer, data scientist, AI developer, and research scientist roles. These positions typically require skills in deep learning, Python programming, and experience with neural networks and model deployment. TensorFlow is widely used in industries such as technology, healthcare, finance, and automotive for developing AI and machine learning solutions.

Is TensorFlow still used in 2026?

TensorFlow remains a widely used open-source machine learning framework in 2026, including its JavaScript version, TensorFlow.js, which is popular for developing browser-based AI applications. Its ongoing updates and strong community support ensure its relevance for AI and deep learning projects today.

What are some common projects or tasks a TensorFlow.js developer typically works on?

As a TensorFlow.js developer, you may work on projects such as building browser-based machine learning models, integrating real-time data predictions into web applications, or converting existing Python-trained models to run client-side. Day-to-day tasks often include designing user interfaces for model interaction, optimizing model performance within browser constraints, and collaborating closely with front-end and back-end teams to deliver seamless user experiences. This role is highly collaborative, and successful developers frequently communicate with product managers or data scientists to align technical implementation with business objectives. There is also significant opportunity to stay updated on the latest web ML trends and contribute to cross-functional innovation within your team.

What are the key skills and qualifications needed to thrive in the Tensorflow Js position, and why are they important?

To thrive in a TensorFlow.js role, you need strong JavaScript programming skills, an understanding of machine learning concepts, and experience developing web applications. Familiarity with TensorFlow.js libraries, browser-based coding environments, and version control systems like Git is highly beneficial. Excellent problem-solving abilities, collaborative teamwork, and effective communication skills help you succeed in fast-paced, multidisciplinary settings. These capabilities are essential for building interactive machine learning solutions that integrate seamlessly with modern web apps and meet real-world business needs.

What is a TensorFlow.js job?

A TensorFlow.js job typically involves developing, deploying, and optimizing machine learning models that run directly in the browser or on Node.js. Professionals in this role work with JavaScript, TensorFlow.js, and related web technologies to build AI-powered applications. Responsibilities may include training models, converting existing TensorFlow models to TensorFlow.js, and improving model performance for web-based environments.

Is TensorFlow still relevant?

TensorFlow remains a widely used framework for machine learning and deep learning development, including in roles that require TensorFlow.js for browser-based AI applications. Its active community, ongoing updates, and integration with other tools ensure its continued relevance in the industry.
More about Tensorflow Js jobs
What are the most commonly searched types of Tensorflow Js jobs? The most popular types of Tensorflow Js jobs are:
What states have the most Tensorflow Js jobs? States with the most job openings for Tensorflow Js jobs include:
Infographic showing various Tensorflow Js job openings in the United States as of June 2026, with employment types broken down into 90% Full Time, 2% Part Time, and 8% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $55,080 per year, or $26.5 per hour.

React Developer with AI/Python

Bright Sol

Phoenix, AZ • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Hi Pals,

we have a position for React Developer with AI/Python at Phoenix,AZ.

Job Title: React Developer with AI/Python
Location: Onsite (Phoenix,AZ)
Experience: 7+ Years (Adjust as needed)
Duration : Long Term contract

Job Summary
We are seeking an experienced React Developer with AI/Python expertise to design, develop, and maintain modern web applications powered 
by Artificial Intelligence. The ideal candidate should have strong experience in React.js, Python, REST APIs, and AI/ML integrations, 
with the ability to build scalable, responsive, and high-performance applications.

Key Responsibilities
Design, develop, and maintain responsive web applications using React.js.
Build reusable UI components and optimize applications for performance and scalability.
Develop backend services and APIs using Python (FastAPI, Flask, or Django).
Integrate AI/ML models, LLMs, and Generative AI services into web applications.
Work with AI APIs such as OpenAI, Anthropic, Azure OpenAI, or Google Gemini.
Develop chatbot, document processing, recommendation, and AI-powered automation features.
Collaborate with UI/UX designers, AI engineers, and backend developers.
Integrate RESTful APIs and GraphQL services.
Implement secure authentication using OAuth2, JWT, and SSO.
Write clean, maintainable, and testable code following best practices.
Optimize application performance, accessibility, and SEO.
Participate in Agile/Scrum ceremonies including sprint planning, stand-ups, and retrospectives.
Troubleshoot production issues and provide timely resolutions.
Required Qualifications
Bachelor''s degree in Computer Science, Information Technology, or related field.
5+ years of professional software development experience.
Strong experience with:
React.js
JavaScript (ES6+)
TypeScript
HTML5
CSS3
Strong Python development experience using:
FastAPI
Flask
Django
Experience developing REST APIs.
Experience with Git and CI/CD pipelines.
Experience with SQL and NoSQL databases.
Understanding of software design patterns and microservices architecture.
AI/ML Requirements
Experience integrating Large Language Models (LLMs).
Knowledge of:
OpenAI APIs
Azure OpenAI
Google Gemini
Anthropic Claude
Experience with:
LangChain
LangGraph
LlamaIndex
Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate)
Knowledge of Retrieval-Augmented Generation (RAG).
Experience with prompt engineering.
Understanding of embeddings and semantic search.
Familiarity with AI agents and workflow automation.
Cloud & DevOps
AWS, Azure, or Google Cloud Platform.
Docker and Kubernetes.
CI/CD using GitHub Actions, GitLab CI, or Azure DevOps.
Monitoring tools such as Prometheus, Grafana, or CloudWatch.
Preferred Skills
Next.js
Redux Toolkit
React Query or TanStack Query
Tailwind CSS or Material UI
GraphQL
WebSockets
Jest, React Testing Library, Cypress
AI model deployment
MLOps fundamentals
Knowledge of OCR, NLP, and Computer Vision
Nice to Have
Experience with AI copilots or chatbot development.
Experience building AI-powered SaaS products.
Familiarity with Hugging Face Transformers.
Experience with TensorFlow or PyTorch.
Knowledge of Model Context Protocol (MCP).
Experience with vector search and knowledge graph solutions.
Required Technical Skills
React.js,JavaScript,HTML5
CSS3,Python,FastAPI
Flask,Django,REST API
GraphQL,SQL,PostgreSQL
MongoDB,Redis,Docker
Kubernetes,Git,GitHub
CI/CD,AWS,Azure
OpenAI,LangChain

Thanks & Regards
Suman|Technical Recruiter |BrightSol
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