Turing

Remote senior back-end developer jobs

We, at Turing, are looking for remote senior back-end developers who will take ownership of developing server-side logic, defining and maintaining central databases, ensuring high performance and leading the development team. Here's your chance to collaborate with top industry veterans and rise quickly through the ranks while working with top U.S companies.

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Job description

Job responsibilities

  • Participate in the overall application development lifecycle
  • Collaborate with front-end developers, testers, QA leads, and project managers to deliver robust applications
  • Define and communicate technical and design requirements
  • Write high-quality, testable, effective, and reusable code
  • Develop sustainable and functional web applications with clean coding standards
  • Conduct UI tests and optimize applications for enhanced performance
  • Implement security and data protection best practices
  • Design and implement effective data storage solutions
  • Provide technical leadership and mentor junior developers across all development stages

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 5+ years of back-end development experience (rare exceptions for highly skilled developers)
  • Proficient in multiple back-end programming languages like Java, Python, Ruby, PHP, .NET, Golang, etc.
  • In-depth understanding of web development best practices
  • Good understanding of front-end technologies and platforms (HTML, CSS, JavaScript, Node.js. etc.)
  • Working knowledge of relational as well as non-relational databases
  • Strong understanding of third-party libraries and APIs
  • Experience in database integration, data migration, transformation, and scripting
  • 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

  • Expertise in user authentication and authorization between multiple systems, servers, and environments
  • Great understanding of accessibility and security compliance
  • Knowledge of OWASP security principles
  • Proficiency in server-side CSS preprocessors, such as LESS and SASS
  • Understanding of automated testing platforms and unit tests
  • Knowledge of code version control systems, such as GIT
  • Experience in creating database schemas
  • Strong analytical, problem-solving, and time management skills
  • Great interpersonal and leadership skills

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How to become a Sr. Back-end developer ?

In recent years, web development has become a popular career choice, as organizations have realized that their online presence directly affects their ability to attract leads. As a result, many people have begun to seek out qualified candidates who are skilled in utilizing the latest web technologies to build and design websites to help them grow.

Web developers who specialize in back-end development are responsible for managing the interchange of data between the server and users. Their primary focus is developing all server-side logic, defining and maintaining the central database, and ensuring high performance and responsiveness to requests from front-end developers. They will also be responsible for integrating front-end elements built by other teams into the application.

While the front end of a website is outward-facing, the back end contains the programming infrastructure. In other words, the back end developer provides the foundation for all of the complex technical functions that go into running a website.

What is the scope in back-end development?

There is a great demand for web developers as the booming tech industry creates new jobs and improves accessibility. As a result, remote back-end developer jobs are increasing.

Companies increasingly depend on remote back-end developers to take care of software scalability and security. Artificial Intelligence and Machine Learning have led to the creation of a new breed of entrepreneurs, who are now taking advantage of the demand-supply gap. This means that many more products need to be built, which in turn means more opportunities for back-end developers.

What are the roles and responsibilities of a Sr. back-end developer?

A web application developer working on the back-end creates, integrates and maintains the server-side logic of a web application. The back-end developer writes the web services and APIs that front-end developers and mobile application developers use to build applications.

A senior back-end developer is in charge of managing data exchange between the server and the users. The developer will develop all server-side logic, define and maintain the central database, and ensure high performance and responsiveness to requests from the front-end. They will also integrate front-end elements built by other teams into the application.
Sr. Back-end developers shoulder the following responsibilities:

  • Incorporation of front-end developer-created user-facing elements with server-side logic
  • Developing reusable code and libraries for further use
  • Application optimization for maximum speed and scalability
  • Implementation of security and data protection
  • Develop and implement data storage solutions
  • Cooperate in the application development lifecycle as a whole
  • Collude with front-end developers, testers, QA leads, and project managers to deliver rigorous applications
  • Establish and document technical and design specifications
  • Create long-lasting and functional web applications using clean coding standards
  • Perform UI tests and optimize applications for improved performance

How to become a Sr. back-end developer?

To be a successful back end developer, one should have at least some formal training, and must have bachelor's degrees in computer science or advanced mathematics. In addition, to call oneself a back end developer requires an understanding of several languages and programs. These essential skills include Python, Java, SQL, NoSQL, and Git.

Aspiring development professionals can take a variety of routes to hone their skills. A four-year degree is the most common option, but if you’re unable to commit the time or funds necessary to complete an undergraduate study or you already hold a degree in another field you might want to consider alternative education solutions, such as a coding boot camp that teaches the technical skills that back end developers need in a short period and at a reasonable cost.

Moreover, to apply for senior back-end developer positions, you need to have hands-on experience of at least 2-3 years. So, ensure that you work on reputed projects or good companies to showcase your expertise.

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Skills required to become a Sr. back-end developer

Learning fundamental skills is essential for getting high-paying Sr. back-end developers jobs. Here is everything you need to know!

1. Python

If you want to be a back end developer, you need to hone your Python skills. This programming language can do everything from simple web projects to more complex applications. It’s a popular choice for programmers in a variety of fields, from healthcare to finance to travel. Python’s popularity is due to the language’s support of multiple programming styles, which makes it ideal for web development. Because Python is a general-purpose language, developers can comfortably use procedural, functional, and object-oriented programming approaches. In addition to its flexible syntax, Python offers excellent data libraries and visualization capabilities. And in contrast to other languages that have elaborate grammar rules and obscure naming conventions, Python’s code reads as if it has been written in English.

2. PHP

PHP is a server-side programming language that is ubiquitous among web developers. It's a scripting language, making its learning curve easy to overcome for beginners, and it's open-source, so anyone can expand on it without paying licensing fees. Though back-end development teams often use languages like Java or C++ instead of PHP to code their web-based applications, being familiar with the basics of PHP as a web developer would certainly help your resume stand out in a crowded applicant pool.

3. Java

Java is a multi-paradigm programming language that is used widely for developing lots of applications. Java is a powerful, object-oriented language and also provides many features of other popular programming languages such as C and C++. Java is often mistakenly considered to be difficult to learn in contrast to languages like Python; nevertheless, it remains the most popular programming language among developers. On the whole, it has proved to be convenient and secure. Major e-commerce giants rely on Java programming to build their back-end. The majority of in-demand back-end developer jobs necessitate having Java skills in your skillset

4. Algorithms and Data Structures

To succeed as a back-end developer, you must be able to use logic to solve difficult problems. The ability to apply algorithms and data structures makes you stand out from the crowd. Every back-end developer should have a strong understanding of quick sort, bubble sort, selection sort, searching, and iterative algorithms.

If you are a back-end developer and you do not know data structures well, your work will be less efficient and difficult. Learning about data structures will give you the foundation to access and modify data in programming, making your job effective and easy.

5. Application Programming Interface (APIs)

An API is a program that allows different servers, clients, and users to communicate on the internet. Servers and clients make up the back-end of an application, while users are its front-end. APIs allow data to be transferred on the internet, which is why they are important for developers. JSON and XML are software tools used by web developers to shave off excess data between a server and a database.

Interested in remote Sr. Remote Back-end developer jobs?

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How to get remote Sr. back-end developer jobs?

Developers are a lot like athletes. In order to excel at their craft, they have to practice effectively and consistently. They also need to work hard enough that their skills grow gradually over time. In that regard, there are two major factors that developers must focus on in order for that progress to happen: the support of someone who is more experienced and effective in practice techniques while you're practicing. As a developer, it's vital for you to know how much to practice - so make sure there is someone on hand who will help you out and keep an eye out for any signs of burnout!

Turing offers the best remote Sr. back-end developer jobs that suit your career trajectories as a Sr. back-end 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 Sr. back-end developer jobs with better compensation and career growth.

Why become a Sr. back-end 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 Sr. back-end developers?

At Turing, every Sr. back-end developer is allowed to set their rate. 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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