Turing

Remote Vue.js/Java developer jobs

We, at Turing, are looking for qualified remote Vue.js/Java developers who will be responsible for developing new client-facing features, components and cross-platform applications. Get an opportunity to work with leading U.S. companies and rise quickly through the ranks.

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Job description

Job responsibilities

  • Design, develop and maintain cross-platform applications
  • Develop new user-facing features
  • Deliver high-performant, reusable code and libraries
  • Ensure technical feasibility of UI/UX designs
  • Find/fix bugs and optimize applications for maximum performance
  • Create large-scale distributed systems out of micro-services and micro-frontends
  • Deliver efficient software within deadline following continuous delivery practices
  • Keep update with modern programming languages and technologies
  • Participate and take responsibility of all stages of software development cycles

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, (or equivalent experience)
  • At least 3+ years of professional experience in full-stack development (rare exceptions for highly skilled developers)
  • Experienced in major languages and front-end technologies, including Golang, Vue.js, Flutter, etc.
  • Proficient with web mark-up tools, including HTML5, CSS3
  • Good knowledge of pre-processing platforms, like LESS and SASS
  • Strong understanding of client-side scripting e.g., JavaScript
  • Solid understanding of code versioning tools including Git, Mercurial, and SVN
  • Ability to handle asynchronous requests, partial page updates, and AJAX
  • In-depth knowledge of cross-browser compatibility issues and solutions
  • 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

  • Experienced in different software development methodologies and paradigms
  • Strong understanding of software delivery processes
  • Experience in Linux and distributed systems
  • Familiar with Agile approaches and techniques
  • Strong communication and organizational skills

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How to become a remote Vue.js/Java ?

Java is probably one of the most widely utilized programming languages in use today. It is a general-purpose language that allows developers to write and run codes anywhere irrespective of system architecture. It is a language that supports the write-once and runs anywhere model which helps developers to compile code on any platform supporting Java Runtime Environment. Built taking inspiration from C++, one can easily notice the similarities in syntax while learning.

On the other hand, Vue.js is a web development framework for JavaScript-based programming. Built as a progressive framework, Vue.js helps to build web interfaces and single-page apps. The framework supports cross-platform development and support for HTML extensions and JavaScript codebase transformed it into a preferred option. Used by tech giants globally, the framework is one of the most widely used in the present tech industry.

Based on the growing importance of both Java-based applications and the use of Vue.js, hiring remote Java/Vue.js developers is today a priority task. Being a preferred choice for almost a decade, demand for Java/Vue.js developers has also remained high. This has turned the role into one of the most coveted positions in the tech community. The rise in the number of opportunities for Java/Vue.js developers has opened new avenues for developers to find better positions.

What is the scope in Java/Vue.js development?

As the world shifts quickly to a digital-first model, future Java or Vue.js developers will see a lot of new opportunities. With businesses actively trying to become digitally enabled or extend service domains, demand for experts will see a sharp increase. The ability to utilize languages like Java along with a framework like Vue.js can help developers to take their careers to newer heights.

Both Java and Vue.js seem to fit the requirements of modern cross-platform development projects helping them to stay relevant in the long run. The language and the framework offer several benefits to developers which have also helped it become a preferred option. Based on the level of community support and availability of third-party plugins and extensions, companies prefer to utilize such technologies.

If you aspire to take your career in software development to new heights, working as a Java/Vue.js developer can help you to attain your goals.

What are the responsibilities and roles of a Java/Vue.js developer?

Working as a Java/Vue.js developer you can expect to contribute in several areas of web and app development processes. Companies mostly look to hire Java developers with the expertise of working with Vue.js. As a developer, your efforts will mostly go towards building user-facing web applications along with essential components. You also need to implement framework integrations following best practices and workflows. As a developer, you also need to ensure the development of easy-to-use, reliable, and secure applications for end users. You also need to work closely with backend developers and front end designers to build robust and intuitive interfaces.

If you’re looking to work as a Java/Vue.js developer, expect daily responsibilities to include tasks like:

  • Take charge of building user-facing applications using the Vue.js framework
  • Develop and work with modular and reusable components and code libraries
  • Refine features and functions to optimize the application for performance
  • Deploy automated testing processes into development and maintenance workflows
  • Stay updated with recent trends and developments in the JavaScript and Vue.js niche
  • Maintain security updates and track problems found with Vue.js and essential project dependencies
  • Propose upgrades and updates to evolving solutions according to modern security and development best practices
  • Ability to utilize and integrate third party resources like plugins and extensions
  • Collaborate with various teams and stakeholders to ensure quality
  • Knowledge of modern software and web development trends and best practices

How to become a Vue.js/Java developer?

Java is a well-structured and object-oriented language that is often considered an easy language to learn. Regardless of academic background, any person can become an expert Java programmer with diligence, hard work, and proper training. Along with Java, Vue.js is also a primary requirement for the role and can also be mastered by almost any developer. While companies prefer to hire Java/Vue.js developers with a deep understanding and a Bachelor’s degree in Computer Science or related fields, it is not a mandatory requirement for professionals. However, having a degree in a technical field will allow you to grasp ideas, concepts, and complexities of the languages easily. In addition, having a good remote Vue.js developer resume should also help to improve the chances of getting hired at top organizations.

Professionals with the right skill set and knowledge of Java and Vue.js can potentially earn handsomely without any degree in the same domain. You too can find success in the same field all you need is a thorough knowledge of the essential technologies tools. Check out the next section to learn more about the basic requirements for becoming a java/Vue.js developer.

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Skills required to become a Java/Vue.js developer

To build a successful career as a Java/Vue.js developer, developers need to possess expertise in working with technologies. To work as a Java/Vue.js developer you’ll need to develop capabilities of working with

1. JavaScript

One of the most widely used text-based programming languages, JavaScript is used for coding client and server-side logic. It allows developers to integrate interactive features and stylize web pages to make them more appealing. These interactive elements paired with third-party platform plugins, has helped to make web solutions more effective and efficient. Today, JavaScript works as one of the core technologies defining web solutions with more than 90% of websites implementing for developing client side for web page behavior. Use of third-aprty libraries is also pretty common as it extends a developers capability to build services faster and with higher efficiency.

2. Vue.js ecosystem

Vue.js as a framework has evolved a lot since its first introduction. It has become a full-flegged solution adding several defining tools and code libraries. Using such resources, developers level-up their development capabilities and tackle known hurdles with efficiency. Today, Vue.js offers a rich ecosystem of libraries, support for developers, countless third party plugins, etc. Experienced Vue.js developers can utilize a host of different tools like Vuetify, BootstrapVue, Element, Quasar, etc to build applications. Some of the core Vue libraries include the likes of Vue Router, Vuex, Vue Loader, Vue Server Renderer, Vue Dev-Tools, and more.

3. HTML & CSS

HTML and CSS have long been the two core technologies driving web development processes. Both languages are globally used for defining front-end logic and the design of web pages. HTML as a language helps to develop concepts and define the structure of web pages and websites. While CSS allows developers to test and configure visual effects on webpages tp improve visual asthetics. It is also used for making webpages adaptable and offer efficient user experience on any device. CSS is also known for adding cross-platform features and deploy modern design principles. Developing thorough knowledge of working with HTML and CSS along with related tools will help in securing the top Java/Vue.js developer positions at global corporations.

4. RESTful APIs

REST API or often referred to as RESTful API that conforms with the principles of REST architecture and style. REST stands for representational state transfer and works as a set of definitions and protocols for building and integrating applications. Along with knowledge of working on RESTful APIs, developers also need to develop design ideas for various niches. Design of an API for weather report applications will vastly differ from one for travel solution. TO build efficient APIs, developers also need to understand the the requirements the API needs to addres. In order to contribute efficiently in various domains, stay updated on various developments in API development.

5. Version Control Tools

Modern software development processes are mostly managed using small and modular approaches. Developers today prefer to work on smaller modules of code to make applications easier to scale, diagnose, and maintain. Versioning tools play a huge part in helping people to stay updated about the code history of entire projects. Developers can use these tools to track back or even switch to a stable version, if required. With the increasing depenced on version control tools, today developers have the option of utilizing several options best suited for projects. Git is probably one of the best solutions when it comes to versioning tools and is globally used.

6. Interpersonal skills

Working in the modern software development industry requires a lot more than technical proficiency. Developers today need to undertake various responsibilities outside their core competencies. They often also need to collaborate with different cross-functional teams and interact with clients to produce high-quality software. For which, interpersonal skills play a huge part in today’s agile work culture. Developers need to actively interact and share their opinion from time to time to keep the chain of information flowing. So to find success working as a Java/Vue.js developer, brushing up on language skills and openness to collaborate has become essential.

Interested in remote Vue.js/Java developer jobs?

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Apply now

How to get hired as a remote Java/Vue.js developer?

Companies today prefer to work with professionals with a deep understanding of important technologies. For which constantly upgrading personal tech stack and developing knowledge of various domains has become essential. In addition to core technologies required for Java development, developers also need to have a clear idea about user-preferences. This allows developers to build entire applications and front-ends drawing inspiration from preferred features. The primary objective of any Java/Vue.js developer is to build efficient solutions that offer class-apart user experience using intuitive interfaces.

Turing’s rapid ascent as a premier platform that takes careers forward as a remote Java/Veu.js developer is remarkable. We provide developers opportunities to work on era-defining projects and business problems using state-of-the-art technologies. Join the fastest growing network of the top developers around the globe to get hired as a full-time and long-term remote Java/Vue.js developer with the best pay packages.

Why become a Java/Vue.js 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 Java/Vue.js developers?

Every Java/Vue.js developer at Turing can set their own pricing. Turing, on the other hand, will recommend a salary to the Java/Vue.js developer for which we are confident of finding a fruitful and long-term opportunity for you. Our salary recommendations are based on an analysis of market conditions as well as customer demand.

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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