Turing

Remote back-end Node.js/RabbitMQ developer jobs

We, at Turing, are looking for highly-skilled remote back-end Node.js/RabbitMQ developers who will be responsible for creating APIs, implementing functional requirements, processes and workflows, and deploying RabbitMQ. Get an opportunity to work with the leading U.S. companies and rise quickly through the ranks.

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Job description

Job responsibilities

  • Execute software engineering best practices for testing, deploying, and developing code
  • Design, build & manage micro-services and backend APIs for high traffic applications
  • Analyze user requirements and generate technical specifications
  • Install, configure, and administer RabbitMQ on multiple environments
  • Implement clustering, security, and set up virtual hosts, exchanges, and queues
  • Work closely with cross-functional teams and internal and external stakeholders
  • Write and run unit tests, system integration tests, and load tests for the application features/APIs

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, IT (or equivalent experience)
  • At least 3+ years of back-end development experience (rare exceptions for highly skilled developers)
  • Hands-on experience in Node.js, and its frameworks such as Express, StrongLoop, etc.
  • Proficiency in RabbitMQ, Kafka, and cloud services
  • Thorough understanding of OOP concepts and design patterns
  • Knowledge of microservices and backend APIs
  • Proficient with database schema designing, query tuning, and performance troubleshooting
  • Expertise in deploying applications in AWS cloud or Docker
  • Experience with different messaging styles like pub-sub and messaging APIs, including REST, STOMP, JMS, AMQP, etc.
  • Fluency in English language for effective communication
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Strong knowledge on message oriented middleware concepts
  • Knowledge of monitoring alarms, troubleshooting and migration of RabbitMQ
  • Experience with Java/JEE development
  • Ability to follow agile development practices with continuous integration
  • Excellent organizational and interpersonal skills

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How to become a Backend Node.js/RabbitMQ developer ?

Message queues allow different applications to send and receive messages via an intermediary platform. Such a platform is called a message broker or queue manager. The RabbitMQ program is an example of a message queue; it acts as an intermediary between applications that have different throughputs. The computer program facilitates asynchronous communication between two systems.

Node.js, an open-source, cross-platform runtime environment, is used for server-side JavaScript. It features Google’s V8 engine, libuv for cross-platform compatibility, and a core library. Because it's single-threaded, Node.js was designed to build scalable network applications that respond to events asynchronously, which makes it useful for real-time, push-based architectures. Although primarily used for traditional websites and back-end API services, Node.js has also become popular for building complex systems like chat servers and media aggregators due to its ability to handle a high number of concurrent connections in an efficient manner.

Due to their high efficiency and ability to manage several concurrent connections, Node.js/RabbitMQ have become popular choices for companies with Backend Node.js/RabbitMQ developer jobs growing in demand.

What is the scope of Backend Node.js/RabbitMQ development?

The RabbitMQ developers, a team of skilled developers using the RabbitMQ software, are responsible for fulfilling employers’ expectations by designing tools that allow for the continuous growth of the software.

Node.js is currently the most popular technology for backend development, with many open-source developers and companies contributing core modules, frameworks, and plug-ins. Node.js is a popular technology for group projects because of its diverse developer community and its resilience to changes in the market. Node.js is a robust and widely used technology with considerable longevity. The future seems bright for Backend Node.js/RabbitMQ developers as they will be needed in all the organizations across several industries.

What are the roles and responsibilities of a Backend Node.js/RabbitMQ developer?

Node.js developers design and write code to build network applications, which run on servers and allow the exchange of data between servers and clients. They work together with other developers to design and manage the software back end, or component, of web-based applications, and they connect applications to other web services. They manage front-end development by integrating web-based applications, based on the designs created by their counterparts.
RabbitMQ is a message broker that quickly delivers web server responses to clients without requiring the client to wait for the result. It can also distribute messages to multiple consumers or load balance between consumers when there is a high load.
Backend Node.js/RabbitMQ developers generally have the following job responsibilities:

  • Implement software engineering best practices to test, deploy, and develop code
  • Design, develop and manage microservices/APIs for applications with high traffic
  • Preparation of technical specifications based on user requirements analysis
  • Configure, install, and administer RabbitMQ across multiple environments
  • Create virtual hosts, exchanges, queues, and setup clustering, security, and virtualization
  • Interact with cross-functional teams and both internal and external stakeholders
  • Perform unit, system integration, and load testing on the features/APIs of the application

How to become a Backend Node.js/RabbitMQ developer?

The position requires a Backend Node.js/RabbitMQ developer with an in-depth knowledge of software development, and message broker. Hence most employers prefer candidates who have majored or otherwise taken coursework in computer science, electrical engineering, or computer engineering. Furthermore, they prefer candidates with extensive experience developing Backend Node.js/RabbitMQ applications.

Pursue an internship during your studies to develop programming skills, improve existing ones, and gain hands-on work experience. An internship also opens doors to contacts and future career opportunities.

Certification as a Backend Node.js/RabbitMQ developer is important for many reasons. For instance, certification distinguishes you from non-certified Backend Node.js/RabbitMQ developers, allowing you to take pride in your accomplishments and know that you are one of the more highly skilled professionals in your field. Certification also opens up doors for better opportunities, which can help you grow professionally and excel in your respective field.

Hard skills or technical skills that work as a foundation for their career are extremely important for developers to mark their position at the top. Backend Node.js/RabbitMQ is a respectable position with a great skill set that should be developed. We've listed some of the most important hard skills that every Backend Node.js/RabbitMQ developer needs to succeed in the workplace below:

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Skills required to become a Backend Node.js/RabbitMQ developer

Backend Node.js/RabbitMQ developer jobs require certain skills and basics. So Backend Node.js/RabbitMQ developers must start learning the fundamental skills that can get them high-paying Backend Node.js/RabbitMQ developer jobs. Here is what you need to know!

1. RabbitMQ

RabbitMQ is an open-source message broker that supports many messaging protocols and is often called the hybrid broker. It is used by thousands of organizations worldwide, including PayPal, Mozilla, Cisco, Adobe, and Reddit. The project begins with the philosophy that reliable messaging is fundamental to availability and performance for large-scale applications. In addition to reliability, RabbitMQ aims to integrate easily into the existing distributed architectures. It uses a smart broker/dumb consumer model and focuses on delivering messages to consumers consistently. It offers great performance when configured properly, supports client libraries in Java, Ruby, .NET, PHP, and many other languages. It can handle synchronous and asynchronous communication.

2. Node.JS

Node.js is an open-source, cross-platform, server-side JavaScript runtime environment for executing code outside a web browser. Node.js lets developers use JavaScript to write command-line tools and for server-side scripting, run scripts to produce dynamic web page content before the page is sent to the user's web browser. This is a 'JavaScript everywhere' paradigm that unifies web-application development around a single language, and not different languages for server-side and client-side scripting.

3. Kafka

The Kafka protocol is used for real-time data pipelines and for implementing streaming applications. A data pipeline moves and reliably processes data, while a streaming application consumes streams of data. If you want to use Kafka to create a data pipeline that takes in user activity data in real-time, Kafka would be used to ingest and store streaming data for the platform powering the data pipeline, which serves reads for the applications powering the data pipeline. As a message broker, Kafka is often used to process and mediate communication between two applications.

4. ExpressJS

Express.js is a web server frame for the Node.js platform. Express.js is used to create mobile apps, particularly those that run in a browser or those that are accessed via a web browser. It can be used to build single-page applications or hybrid apps and is most often used in combination with the MVC framework pattern to facilitate more streamlined web-based development operations where JavaScript will be the main language of choice for programmers and developers alike.

5. Experience with Cloud services

Cloud services are a group of computing capabilities that users can access over the internet, usually as software. Cloud infrastructure is a cloud service made up of computer resources—such as memory, processing power, and data storage—from hardware that’s hosted by third-party providers. Platforms are cloud services that allow users to develop their own applications, either with the help of other developers or on their own. A virtual private network (VPN) is an online tool that helps protect users’ information by encrypting it and routing it through specified servers.

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How to get remote Backend Node.js/RabbitMQ developer jobs?

Backend Node.js/RabbitMQ developers, like athletes, must practice effectively and consistently in order to excel at their craft. They must also work hard enough so that their skills gradually improve over time. In this regard, there are two key factors that developers must follow in order for that progress to occur: the assistance of someone more professional and effective in practice techniques while you're practicing. As a Backend Node.js/RabbitMQ developer, you need to know how much to practice while making sure to have someone help you out by keeping an eye out for any signs of burnout!

Turing offers the best remote Backend Node.js/RabbitMQ developers that suit your career trajectories as a Backend Node.js/RabbitMQ developer. Grow rapidly by working on challenging technical and business problems on the latest technologies. Join a network of the world's best developers & get full-time, long-term remote Backend Node.js/RabbitMQ developer jobs with better compensation and career growth.

Why become a Backend Node.js/RabbitMQ 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 Backend Node.js/RabbitMQ developers?

Turing allows its Backend Node.js/RabbitMQ developers to set their own rates. However, Turing will recommend a salary at which we know we can find a fruitful and long-term opportunity for you. Our recommendations are based on our assessment of market conditions and the demand that we see from our customers.

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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