Turing

Remote React Native/Node.js developer jobs

We, at Turing, are looking for highly-skilled remote React Native/Node.js developers for maintaining application performance, building scalable apps, and suggesting improvements. Here's your chance to work with leading U.S. companies and rise quickly through the ranks.

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Job description

Job responsibilities

  • Develop scalable applications, both front-end and back-end
  • Write effective, testable, reusable code and libraries
  • Identify web-based user interactions and design customer-facing UI and back-end services
  • Review application requirements and interface designs
  • Develop and maintain server-side network components
  • Build effective security protocols, data protection measures, and storage solutions
  • Document React Native/Node.js development processes, technologies and best practices

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, or IT (or equivalent experience)
  • 3+ years of experience as a React Native/Node.js developer (rare exceptions for highly skilled developers)
  • Proficiency in Node.js and its frameworks such as Express, StrongLoop, etc.
  • Experience with native build tools (like Android Studio, Xcode, Gradle, etc)
  • Experience in developing native applications using React Native
  • Expertise in HTML5, CSS3, jQuery, and latest JavaScript frameworks (Angular, React, Vue, etc.)
  • Strong knowledge of APIs (REST, SOAP, Microservices)
  • Familiarity with automated testing tools (like Detox, Jest, Mocha, etc)
  • Fluent in English to communicate effectively
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Understanding of agile development, SCRUM, or related programming methodologies
  • Experience in programming languages such as PHP, Python, Java, etc.
  • Experience working with GCP/AWS and code versioning tools like Git
  • Good analytical and organizational skills

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Turing’s developers earn better than market pay in most countries, working with top US companies.
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How to become a React Native/Node developer?

One of the most difficult things any developer can do is the development and maintenance of a server. One of the most essential foundations of computer science is mobile and web development. In the United States alone, the web design business is worth $20.1 billion, while the web development market is far larger.

Node and React Native are two crucial components in current app development.

We've witnessed a surge in the use of smartphones throughout the world in the previous decade. We now carry the virtual ecology in our pockets, just as Steve Jobs predicted. We can do anything on our iPhones, from shopping to investing. As a result, we're seeing an increase in the number of developing frameworks for mobile apps along with React Native/Node developer jobs. Facebook's React Native framework was released in 2015. It has completely transformed the mobile app business. React Native is an open-source JavaScript framework that aids in the creation of the user interface (UI) for mobile apps. It enables developers to construct mobile apps that work on both Android and iOS platforms.

Node.js is a programming language for creating scalable network applications. Node.js is influenced by and developed similarly to Ruby's EventMachine and Python's Twisted. The event model is significantly more extended in Node.js. It depicts an event loop as a runtime rather than a library construct.

What is the scope in React Native/Node development?

The mobile application industry has grown significantly in recent years as the digital environment has taken hold. Even the most conventional businesses are required to have a digital presence. Furthermore, modern technology has simplified the process of producing high-quality, low-cost cell phones. All of these indicators point to a high demand for React Native/Node developer jobs. React Native offers perks that make life simpler for developers, entrepreneurs, and end-users; in addition to being supported by the tech giant Facebook and having a robust developer community.

Reusability of code is one of React Native's most important characteristics. It is one of the most cost-effective solutions, as well as saving time. 90% of the code used in the framework is the same for both operating systems. Building a successful mobile product necessitates cross-platform usage. Without learning Swift or Android Java, a developer who simply knows JavaScript may create apps for iOS and Android. So, if you're looking for a remote React Native/Node developer job, you should brush up on your JavaScript skills. Many firms are eager to construct a great mobile application, therefore we can help locate the best job for you.

What are the roles and responsibilities of a React Native/Node developer?

In general, a React Native/Node job requires a unique combination of JavaScript and native platform expertise. They work on the app's frontend, but they also need to be familiar with API services and cross-platform compatibility, as well as the app's infrastructure for integration. React Native/Node developer jobs entail developing high-performance mobile apps for Android and iOS. To understand and implement the requirements, developers must engage with the product team. Their responsibilities include –

  • Using the React ecosystem, design and create user interface components for JavaScript-based online and mobile apps.
  • Use prototypes and wireframes to create app and UI components.
  • Work with native modules as needed. Use Native APIs for tight connections across both Android and iOS platforms.
  • Create automated tests to guarantee that code is error-free and performs well.
  • Create front-end components that are as reusable and efficient as possible.
  • Working with APIs and third-party dependencies.
  • Work with cross-functional teams to develop apps within the schedule and budget constraints.
  • Ensure optimum performance and response of the central database performs to front-end queries.
  • Create customer-facing user interfaces and back-end services.
  • Run diagnostic tests, repair errors, and provide technical support.
  • Using testable, reusable, and efficient code to build high-performance apps.
  • Creating solid security processes, data protections, and storage solutions.

How to become a React Native/Node developer?

You should be familiar with JavaScript in order to find remote React Native/Node developer jobs. You have an advantage over others if you have prior expertise with UI frameworks or mobile applications. It's a good idea to learn about both the iOS and Android ecosystems since it may aid you with bug fixes and automated tests.
A typical computer engineering background can lead to a variety of job prospects all around the world. The bachelor's degree is known as a B.Tech, and it consists of a four-year Bachelor's program. BCA (Bachelors in Computer Applications) degrees can also be used to verify a familiar background in order to apply for remote React Native/Node developer job. Aside from technical skills, solid communication and adaptability skills will help you become a valuable team participant in the development of the most successful products.

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Skills required to become a React Native/Node developer

Writing and understanding JavaScript is one of the qualifications for landing a remote React Native/Node developer job. A thorough command of ESLint, Redux, Enzyme, Jest, and other technologies also aids in the navigation of patterns and applications. Let's take a closer look at each of the in-demand skills:

1. HTML + CSS

Hypertext Markup Language (HTML) and Cascading Style Sheets (CSS) are crucial for creating user interfaces and are familiar to every front-end developer. Understanding HTML and CSS helps you to go through the requirements for adopting responsive web concepts.
While HTML and CSS are both static, they are necessary for creating a user-friendly platform. Writing semantic HTML elements, performing CSS resets, and comprehending box models will offer you an edge over more experienced applicants. It's best to have a great grasp of front-end programming and user interface if you want to obtain a high-paying remote React Native/Node developer job.

2. JavaScript

A skilled React Native/Node developer job requires being well-versed in JavaScript ideas. React and React Native are built on JavaScript. As a result, a candidate looking for a React Native/Node jobs remote should have a solid understanding of ES6 and React. Most recruiters will test your knowledge of ES6 and React by asking you technical questions. Ideally, recruiters want applicants who have experience with React Native. So, if you've developed an app with React Native or Node, make a note of them.

3. JSON files

The JSON file is another fundamental and probably more useful component in React Native/Node. You must build JSON files in a React Native/Node developer job. In basic terms, it organizes and maintains the data of the packages and dependencies, including the script used in the project. If you ever need to verify which packages or dependencies to utilize in the application, you can quickly access this file and review the details.

4. Database

When creating back-end applications, programmers must interface with databases and data management technologies. It is critical that they are aware of the transactions that are taking place in the front-end application. Oracle, PostgreSQL, MongoDB, Cassandra, Redis, and other databases are among them.

5. Git

For saving projects to solutions like GitHub, Bitbucket, and GitLab, Git is a must-have in any developer's toolset. The following are some of the abilities that should be part of your regular routine:

  • Use Add, Commit, Push, and Pull to track changes.
  • Strategies for branching out and merging
  • Dealing with merge conflicts

6. Testing/Debugging

Testing and debugging are crucial abilities for any developer, but they're especially important for landing remote React Native/Node developer job. The technique of testing individual blocks of source code is known as unit testing, and unit testing frameworks provide precise methods and structures for doing so. Debugging entails taking into consideration all of the inconsistencies (bugs), donning your detective hat to figure out why and how they're occurring, and then dealing with them appropriately.

Interested in remote React Native/Node developer jobs?

Become a Turing developer!

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How to get remote React Native/Node developer jobs?

When it comes to development, React Native/Node developer remote jobs are the most detail-oriented. Developers should concentrate on landing a remote React Native/Node developer job by honing their programming abilities under the supervision of a more experienced team and learning JS frameworks. It's critical to know how much to practice as a developer. Therefore, make sure you assemble a team that can aid and lead you through the development process!

Turing provides the top remote React Native/Node developer jobs to fit your React Native/Node developer career. Working on difficult technical and business challenges with contemporary technologies provides growth. Join a network of the world's greatest developers and find long-term full-time opportunities for remote jobs React Native/Node with greater pay and better career stability.

Why become a Remote Native/Node developer at Turing?

Elite US jobs

Long-term opportunities to work for amazing, mission-driven US companies with great compensation.

Career growth

Work on challenging technical and business problems using cutting-edge technology to accelerate your career growth.

Exclusive developer community

Join a worldwide community of elite software developers.

Once you join Turing, you’ll never have to apply for another job.

Turing's commitments are long-term and full-time. As one project draws to a close, our team gets to work identifying the next one for you in a matter of weeks.

Work from the comfort of your home

Turing allows you to work according to your convenience. We have flexible working hours and you can work for top US firms from the comfort of your home.

Great compensation

Working with top US corporations, Turing developers make more than the standard market pay in most nations.

How much does Turing pay their remote Native/Node developers?

Turing can assist you in recommending a pay range that will allow you to settle on a profitable and long-term opportunity. The majority of our recommendations are based on market circumstances and our clients' needs. This makes Turing a firm believer in adaptability and providing equal opportunities to all. As a result, any Remote React Native/Node developer may choose to quote their own price range based on their talents and experience.

Frequently Asked Questions

Turing is an AGI infrastructure company specializing in post-training large language models (LLMs) to enhance advanced reasoning, problem-solving, and cognitive tasks. Founded in 2018, Turing leverages the expertise of its globally distributed technical, business, and research experts to help Fortune 500 companies deploy customized AI solutions that transform operations and accelerate growth. As a leader in the AGI ecosystem, Turing partners with top AI labs and enterprises to deliver cutting-edge innovations in generative AI, making it a critical player in shaping the future of artificial intelligence.

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

No, you don't need to pay any taxes in the U.S. However, you might need to pay taxes according to your country’s tax laws. Also, your bank might charge you a small amount as a transaction fee.

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

Currently, we have openings only for the developers because of the volume of job demands from our clients. But in the future, we might expand to other roles too. Do check out our careers page periodically to see if we could offer a position that suits your skills and experience.

Our unique differentiation lies in the combination of our core business model and values. To advance AGI, Turing offers temporary contract opportunities. Most AI Consultant contracts last up to 3 months, with the possibility of monthly extensions—subject to your interest, availability, and client demand—up to a maximum of 10 continuous months. For our Turing Intelligence business, we provide full-time, long-term project engagements.

No, the service is absolutely free for software developers who sign up.

Ideally, a remote developer needs to have at least 3 years of relevant experience to get hired by Turing, but at the same time, we don't say no to exceptional developers. Take our test to find out if we could offer something exciting for you.

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Leadership

In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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briefcase
Principal AI Engineer - US NYC

Principal AI Engineer

Location: US(NYC)- 3(WFO)

Employment Type: Full Time (Overlapping EST)

Experience Level: Staff/Principal (8–14 years)


About the Role

Turing is hiring a Staff/Principal AI Engineer to lead enterprise-scale agentic AI implementations for Fortune 500 clients. This is a hands-on engineering role focused on designing and shipping autonomous, tool-calling AI systems — agents that reason over enterprise context, invoke real systems through secure interfaces, and operate reliably at scale under strict latency, cost, and governance constraints.

You will own these systems end to end: the data pipelines feeding them, the backend services around them, the agent orchestration layer, the evaluation harness that keeps them honest, and the cloud infrastructure they run on. We are looking for engineers with genuine software engineering and data science depth who have taken agentic systems all the way to production.

What We're Looking For

Engineering foundation

  • 8–14 years of software engineering experience, with strong hands-on large-scale Python
  • Working depth in at least one systems or backend language — Go, Rust, Java, or C/C++ — and the judgment to know when to reach for it
  • Strong data structures and algorithms.
  • Strong understanding of APIs, microservices, and system design
  • Hands-on experience building and operating data pipelines and production-grade distributed systems.

Agentic AI and LLMs

  • 2+ years of hands-on LLM engineering, with at least couple agentic system you designed and took to production
  • Production experience with agent frameworks — LangGraph, Google ADK, CrewAI, Claude Agent SDK, or equivalent — and the fluency to move between them as the ecosystem evolves
  • Experience building MCP (Model Context Protocol) servers and tool-calling interfaces
  • RAG from first principles: chunking strategy, embeddings, vector and hybrid retrieval, reranking, and response validation
  • Strong experience with vector databases (Milvus, Pinecone, Weaviate, FAISS, etc. or cloud equivalents)
  • Design of guardrails and reliability patterns — validators, policy checks, self-correction loops, deterministic fallbacks, circuit breakers, and rollback paths

Optimization

  • Deep familiarity with token optimization and context-window management — context shaping, pruning, and compaction
  • Latency and cost optimization through caching, model routing, batching, streaming, and parallel tool calls
  • Performance testing and tuning systems against defined SLOs

Evaluation

  • Experience building evaluation frameworks for LLM systems — offline eval sets, continuous online evaluation, and regression detection
  • Instrumentation and traceability suitable for regulated enterprise environments using tools like LangSmith, Langfuse, etc.

Cloud

  • Hands-on AWS: containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift) and orchestration (Step Functions); Azure or GCP equivalents also valued
  • Familiarity with CI/CD pipelines and DevOps practices
  • Infrastructure as code with Terraform or CloudFormation, and mature CI/CD practice

Working traits

  • Strong analytical problem-solving with a bias to ownership and urgency
  • Clear cross-team communication, working directly with client stakeholders to translate business problems into technical roadmaps
  • Able to work productively in ambiguity from system-level documentation and ramp quickly in unfamiliar codebases

Good to Have

  • Experience with managed AI platforms — Amazon Bedrock, Vertex AI, Azure AI — paired with fluency in the underlying fundamentals

Roles & Responsibilities

  • Design and build agentic systems: Lead the architecture and implementation of tool-calling agents that combine retrieval, structured reasoning, and secure action execution with least-privilege access.
  • Productionize LLM applications: Build retrieval pipelines, prompt synthesis, response validation, and self-correction loops, backed by rigorous evaluation.
  • Own the full stack: Deliver the data pipelines, backend services, distributed compute, and orchestration layer that agentic systems depend on — not only the model invocation.
  • Engineer for reliability and governance: Build validator models, adversarial test suites, and policy checks; enforce deterministic fallbacks and rollback strategies; instrument continuous evaluation.
  • Optimize for cost and latency: Drive measurable improvements in token efficiency, response time, and unit economics against defined SLOs.
  • Codebase ownership: Build, maintain, and review high-quality Python and SQL, with an emphasis on reusable components, scalability, and performance.
  • Cloud integration: Deploy AI applications on AWS, Azure, or GCP with optimized resource usage and robust CI/CD.
  • Cross-functional collaboration: Partner with product owners, data scientists, and business SMEs to define requirements and deliver impactful AI products.
  • Mentoring and technical leadership: Set engineering standards and share knowledge across the team, raising the bar on AI and software engineering practice.
Finance
10K+ employees
PythonGoRust+ 4
briefcase
Lead Edge AI & Computer Vision Engineer

Lead Edge AI & Computer Vision Engineer

  • Location: USA [with regular on-site travel required to client site]
  • Target Start Date: 1 Sep
  • Time Commitment: 8 weeks full-time
  • Experience Level: 12–15+ Years

Core Objective: Architect, benchmark, and optimize an end-to-end computer vision and low-latency execution pipeline—combining spatial geometric math with low-level C++/CUDA acceleration directly on NVIDIA Jetson embedded edge hardware (Orin NX / AGX Orin) to achieve sub-10 ms processing latency.

Key Responsibilities

  1. Model Selection & Spatial Math: Evaluate real-time detection topologies (e.g. YOLO) at 100+ FPS and build 2D perspective homography unwarping, lens undistortion, and spatial algorithms to convert pixel coordinates into physical millimeter units within tight error bounds (millimeter level accuracy).
  2. TensorRT INT8 Acceleration: Execute Post-Training Quantization to compile PyTorch/ONNX models into high-throughput TensorRT INT8/FP16 engines on Jetson Orin hardware without accuracy degradation.
  3. Zero-Copy Memory Architecture:  Engineer zero-copy memory pipelines using NVIDIA Memory Management and DMA transfers to eliminate bottlenecks.
  4. Compiled C++ Execution & I/O: Build compiled C++17 execution frameworks with multi-threaded lock-free ring buffers and non-blocking asynchronous socket communication.
  5. Nsight Profiling & Roadmapping: Instrument stage-by-stage pipeline latency using NVIDIA Nsight Systems/NVTX markers to bound tail latency, author feasibility reports, and design technical roadmaps.

Key Qualifications & Experience

  1. Full-Stack Edge AI Experience: 12–15+ years of experience bridging real-time computer vision algorithm design, spatial geometry, and low-level C++/CUDA execution on embedded edge hardware.
  2. NVIDIA Jetson Ecosystem: Deep expertise in Jetson embedded platforms (Orin NX, AGX Orin, L4T, power profiles, core pinning) and a proven track record compiling/tuning TensorRT FP16/INT8 engines via PTQ/QAT.
  3. Optical & Spatial Geometry: Expertise in 2D/3D camera calibration, perspective homography transformations, lens distortion modeling, and millimeter sizing math in industrial settings.
  4. Low-Latency Systems Engineering: Expertise in zero-copy shared memory, DMA frame buffers, lock-free queues, custom CUDA plugins, and microsecond profiling via Nsight Systems and NVTX markers.
  5. Tooling & Industrial I/O: Proficiency in C++17, Python, PyTorch, OpenCV, CUDA, non-blocking asynchronous sockets (UDP, PLC integration), and building automated dataset benchmarking harnesses.
Manufacturing
10K+ employees
C++CUDANVIDIA Omniverse+ 5
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