Turing

Remote Go/React developer jobs

We, at Turing, are looking for experienced remote Go/React developers who can develop highly performant and stable cross-platform applications. Here’s your opportunity to work with elite U.S. companies and collaborate with top professionals across the globe.

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Job description

Job responsibilities

  • Create components, implement pages and flows designed by UI/UX designers
  • Develop highly efficient user interface components
  • Write scalable, robust, efficient, testable, and easily maintainable code
  • Translate user requirements into stable, and high-performance software
  • Design, develop, review & test apps in collaboration with cross-functional teams
  • Conducting performance tests, troubleshooting issues, and monitoring the performance of applications

Minimum requirements

  • Bachelor’s/Master’s degree in Computer Science or IT (or equivalent experience)
  • 3+ years of experience working as a Go/React developer (rare exceptions for highly skilled developers)
  • Proficiency in React, Golang, and JavaScript.
  • Good understanding of common Goroutine and channel patterns
  • Experience working with dependency management tools and code generation tools
  • Experience working with REST APIs, third-party libraries & full life cycle of web development
  • Expertise with front-end technologies including HTML, and CSS
  • Experience with popular Go web frameworks like Revel, and router packages
  • Experience working with SQL/NoSQL databases
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones
  • Fluency in English to communicate effectively with engineering leaders

Preferred skills

  • Knowledge of operating systems such as Unix, Linux, etc.
  • Familiarity with cross-browser compatibility, and the responsive design of applications
  • Experience in code versioning tools like Git, SVN, Mercurial, etc.
  • Experience with cloud infrastructures like AWS, Azure, and GCP

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How to become a Go/React developer ?

Go/React development encompasses more than just the creation of appealing websites. Go/React is mostly used for application and website front-end development. Only the best Go/React developers understand the value of a finished product that fulfills the needs of users.

The digital revolution is only going to get bigger and better with faster internet and better smartphone devices. It's no surprise that Go/React developers will be at the vanguard of developing mobile-first products that are extremely dynamic, accessible, and consistent.

Remote Go/React developer jobs have grown in popularity as more people use the internet. You can be a top Go/React developer if you understand how the internet works and how end-users use software goods. Go/React development does provide stable and well-paying work opportunities.

What is the scope in Go/React Development?

The market for app-based and online businesses is at an all-time high, thanks to a significant increase in new businesses and a surge in the use of smart devices.

The term ‘Go/React Development’ refers to more than just building attractive websites. The bigger picture is how well the product addresses the client's problems. If the product fails to answer the client's concerns, the owner will discontinue any involvement with it. As a result, the primary focus should be on tailoring things to the needs of the target audience, which necessitates developers’ expertise. Many businesses rely on Golang/React development to run their websites, which is why remote Go/React developer jobs have become a trend in today's job market.

For the clients, their conduct, points, inspiration, and goal are all critical. As a result, developers will have to put in more effort in the next few years to conduct rapid client research and produce in a client-centric manner.

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

React is a user interface library written in JavaScript. It's changed the way we approach Go/React development. React.js has snatched the open-source community's attention. Its demand is unstoppable in the near future. It is going to be around for a long time.

Organizations look for an experienced engineer who knows how to use React.js and Golang. The chosen candidate's major target would be to create user interface components and implement as well as execute them using well-known React.js processes (such as Flux or Redux). Also, make sure that these components, as well as the entire application, are stable and easy to maintain. It's critical to be dedicated to collaborative problem solving, complex design, and high-quality products.

Roles and Responsibilities of Go/React Developers:

  • React.js and Golang are being used to develop the most recent user-facing features.
  • Creating a modern web-based user interface that is highly responsive
  • Creating reusable Go/React components and libraries for future use
  • Creating high-quality code from designs and wireframes
  • Learn about and comprehend user interactions.
  • Components are optimized for best performance on a wide range of web-capable devices and browsers.
  • Collaborating with different teams working on different tiers
  • Working on products that are both technically solid and aesthetically pleasing from start to finish.

Go/React developers jobs require you to create a mobile-first strategy that is extremely dynamic, accessible, and consistent. It's expected that you'll take a user-centric strategy and prioritize convenience for your target clients.

How to become a Go/React developer?

Let's move on to the path that must be followed in order to seek a career in Go/React Development. To begin, keep in mind that becoming a Go/React developer does not require any academic schooling. Whether you're a graduate or non-graduate, skilled or novice, you can grasp Go/React development and make a career out of it. Practical experience and knowledge of relevant technical and non-technical skills are all that are required.

However, you must have a bachelor's or master's degree in computer science or a related field to secure remote Go/React developer jobs. This is correct for several reasons: First, having a suitable academic background allows you to gain a better understanding of computer programming and web development, which will help you master Go/React development significantly.

Second, many companies require candidates to have a specific degree when employing Go/React engineers, which makes it easier for you to find lucrative work.

Let's take a look at the skills and techniques you'll need to become a good Go/React developer:

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Skills required to become a Go/React developer

React is currently the best JavaScript library for front-end development. It is the only powerful browser-based framework that allows you to create extremely responsive web apps. The React community provides custom HTML components that may be used to create sophisticated online applications that can be reused multiple times.

The first step is to start learning the basic skills that can get you high-paying Go/React developers jobs. Let’s take a look at what you need to know!

1. HTML & CSS

HTML (hypertext markup language) and CSS (cascading style sheets) are used to connect a website's appearance together. The framework is provided by HTML, but without CSS, a website seems to be very basic and featureless. CSS also adds a lot of movement to various elements on websites, such as animated GIFs, parallax scrollers like in the Tumblr app or this site, and visually appealing photos that respond well across browser sizes.

2. JavaScript

Being primarily static, HTML and CSS are ideal for a text-only website. In addition, JavaScript is a useful addition to responsive web pages. It allows you to integrate interactive elements to your websites, such as polls, slideshows, and forms that recognise touchscreen users' clicks automatically. This client-side scripting language allows you to add dynamic features to your website, such as page animation, scrolling, audio, and video.

3. Git

The Git toolbox is a must-have for any developer. It allows people to add or update projects on a variety of coding forums, including GitHub, Gitlab, and BitBucket. Merging strategies and resolving conflicts, as well as employing push and pull to investigate changes, are all frequent duties. The developer must understand how to use various platforms, which include:

  • Keeping track of changes through comments.
  • Strategies for merging and branching
  • Dealing with merge conflicts.

4. Responsive/Mobile Design

A responsive design is one that adapts a website to the device being used, whether it's a phone, tablet, or desktop. However, there are instances when you want visitors to see an entirely new design for their mobile device so that they can see exactly what you want them to view without any extraneous elements. You may create your own mobile-specific designs with grids and graphics to ensure that information is displayed in a logical order. Because of their importance in digital marketing, responsive and mobile design talents are continuously in demand.

5. Cross-Browser Development

It's difficult to get all browsers to show a site consistently because they each have their own technique for displaying web pages. Cross-browser development is essential since it will prepare you to deal with a wide range of browser incompatibilities.

6. Content Management Systems

A Content Management System is used to create the majority of the world's websites (CMS). WordPress is the most popular content management system, powering more than 60% of all websites that utilize one. Joomla, Drupal, and Magento are three other popular CMSs. As a result, knowing any of these platforms might provide you with valuable talent and make you more appealing to firms who require system maintenance or updates. It will provide you an advantage over other prospects as an aspiring Go/React developer. If your future employers have a need for someone who knows one of these systems well, they may consider employing you.

7. Testing/Debugging

Testing and debugging are vital abilities for any developer, but they're especially valuable for remote Go/React developer positions. 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 account all of the inconsistencies (bugs), donning your detective hat to figure out why and how they're occurring, and then dealing with them appropriately.

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How to get remote Go/React developer jobs?

Ever wondered what is common between Athletes and developers? They both must practice efficiently and consistently in order to excel at their craft. They must also work hard enough so that their abilities improve with time. In this regard, there are two important things that developers must focus on in order for that growth to occur: the assistance of someone who is more experienced and successful in practicing techniques when you're practicing, and the use of practice techniques that are more effective. It's critical for you to know how much to practice as a developer, so make sure you have someone to assist you and keep an eye out for signs of burnout!

Turing has the greatest remote Go/React developer jobs that are tailored to your professional goals as a Go/React developer. Working on difficult technologies and business problems with cutting-edge technologies will help you grow quickly. Get full-time, long-term remote Go/React developer employment with greater income and career progression by joining a network of the world's greatest engineers.

Why become a Go/React developer at Turing?

Elite US jobs
Career growth
Exclusive developer community
Once you join Turing, you’ll never have to apply for another job.
Work from the comfort of your home
Great compensation

How much does Turing pay their Go/React developers?

At Turing, every Go/React developer is allowed to set its rate. Turing, on the other hand, will recommend a wage at which we are confident we can offer you a rewarding and long-term opportunity. Our suggestions are based on our analysis of market conditions and the demand we perceive from our clients.

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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