Turing

Remote senior back-end API developer jobs

We, at Turing, are looking for qualified remote senior back-end API developers who will be taking charge of designing, developing, implementing, and integrating APIs along with participating in all stages of the software development lifecycle. 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

  • Integrate front-end elements with server-side logic and functionalities
  • Design, develop, test, and debug new or enhanced functionalities
  • Develop and design RESTful services and APIs
  • Write clean, scalable, and testable code to support rapid delivery via CI/CD
  • Build and maintain data pipelines and high-performance microservices
  • Take part in advancing software craftsmanship across development teams
  • Define project specifications and perform feasibility analysis
  • Define and analyze product key metrics and suggest improvements
  • Assist in defining and building system architecture
  • Keep current with the latest technological advancements and implement new features

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, IT (or equivalent experience)
  • At least 5+ years of back-end development experience (rare exceptions for highly skilled developers)
  • Profound knowledge of SDLC stages including planning, designing, developing, building, and maintaining software
  • Hands-on experience with Java, Python, GraphQL, Spring, JavaScript, etc.
  • Familiarity with API orchestration, cross-platform development, and API designing
  • Expertise in multiple API development frameworks
  • Understanding of enterprise platforms and operating systems
  • Fluency in the English language for effective communication
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Ability to develop, configure, connect and integrate systems within a complex enterprise application environment
  • Strong understanding of scripting and building CI/CD pipelines
  • Familiar with Agile approaches and techniques
  • Experience with unit testing frameworks and tools
  • Great analytical and problem-solving skills
  • Strong communication and leadership skills

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How to become a remote senior back-end API developer?

The decisions taken throughout the planning and development stage determine a company's business. Few decisions are complicated, crucial, or high-stakes as how a company interacts with third-party solutions. Companies can use data from other apps thanks to an application program interface, or API. Partners can easily integrate a well-crafted API into their platform. It is possible for competitors to use an open API. Because of its collaborative nature, having an open API opens up options while maintaining essential privacy across enterprise teams.

APIs, or application programming interfaces, are documented rules that specify how web applications or systems interact with one another. Data is transferred between these systems using APIs, which connect a web application to a back-end server. As more people utilize APIs, the demand for remote senior back-end API developer jobs has grown dramatically.

What is the scope in back-end API development?

Application programming interfaces (APIs) make managing existing tools easier or creating new ones. APIs are essential for offering services in the most efficient and timely manner possible in the digital era. API developers and API developer jobs are in high demand in the IT field.

API testing is gaining in popularity, and rightfully so. Most of today's popular web applications would have been challenging to build without APIs. It's important to have the correct method, tool, and solution in place for API automation tests. This resulted in a surge in senior back-end API developer jobs.

What are the roles and responsibilities of a senior back-end API developer?

After landing remote senior back-end API developer jobs, the following are some of the most important responsibilities.

  • Integrate front-end elements with logic and functionality on the server-side.
  • Create, test, and debug new or improved functionalities.
  • Create RESTful APIs and services.
  • To support rapid delivery via CI/CD, write clean, scalable, and tested code.
  • Create and maintain high-performance data pipelines and microservices.
  • Participate in the development of software craftsmanship across development teams.
  • Define project parameters and conduct a feasibility analysis.
  • Define and analyze critical product metrics, and make recommendations for improvements.
  • Assist in the definition and development of system architecture.
  • Keep up with the newest technology developments and incorporate new features.

How to become a senior back-end API developer?

Despite the high level of expertise and experience necessary for these programming positions, anyone with a genuine interest in the field—and the ability to perform at least some of the above mentioned responsibilities of a senior back-end API developer—can find remote senior back-end API developer jobs.

There are a few ways to learn the skills needed to become a senior back-end API developer. You can start by going to college, which is the most common choice. A computer science degree will provide you with a strong foundation and credentials when it comes to entering the field. College is costly, and the length of time it takes to finish it is a disadvantage. In addition, if you don't have good grades in high school, you might not be able to get into a college that can help you get senior back-end API developer jobs.

Another alternative is to enroll in a boot camp program. The emphasis will be on teaching you the languages you'll need to apply in person or online for remote senior back-end API developer jobs. Depending on the boot camp, this may be a less expensive and faster option than a three- or four-year degree.

Be confident that whatever path you pursue to become a remote senior back-end API developer, you'll have a bright career and plenty of job opportunities ahead of you.

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Skills required to become a senior back-end API developer

Learning the necessary skills is the first step in landing high-paying senior back-end API developer jobs. Let's look at each of the technical skills in more detail.

1. Front-end development

While not all front-end development incorporates API development, learning how to design an application from the bottom up will help you grasp API development fundamentals. Many programming standards in current industries emphasize product compatibility throughout front-end development. Learning the principles of program compatibility may help API developers grow their API development skills more quickly. Therefore, master the skill before applying for remote senior back-end API developer jobs. For example, full API compatibility may not be required when designing mobile and desktop computers software. Learning how to design software compatibility will help developers quickly adapt to API development.

2. Cross-platform application development

Cross-platform application development allows developers to use the same code base for numerous products. A well-made cross-platform video game, for example, can be sold on many systems without the need for additional development. To access a varied client base while fulfilling demand, businesses invest in cross-platform features for their applications. Web developers that are familiar with API development can learn to build effective API applications to help businesses achieve these goals. Because of the importance of this skill, you should develop an understanding of the skill to land remote senior back-end API developer jobs.

3. API design

Understanding how to integrate APIs across many devices will help you improve your API skills. Both mobile and desktop application developers can benefit from learning API design strategies for each system to improve their skills and improve their expertise. API designers can create integrated tools, micro-servers that run on many platforms, and apps that improve connectivity and communication. For example, a software developer can employ API design to translate and connect smartphone operating systems to car media software. While traveling, users can safely make calls, answer text messages, and change music. During interviews, learn the basics to impress recruiters for remote senior back-end API developer jobs.

4. API orchestration

Successful API initiatives deliver more than simply cross-platform experiences. As part of an API orchestration process, they also collaborate with other API programs. API orchestration enables programmers to write numerous API code lines at once and have them function together. They can also write API code that works properly with code that has already been written. API orchestration may be a valuable addition to a CV for remote senior back-end API developer jobs because it allows developers to design easily customizable code.

5. Proficiency with tools

There are many tools available to assist web developers in honing their API programming skills. Programmers can use program editors, database managers, and testing tools to get started on large-scale projects and thoroughly test compatibility alternatives. Here are some useful resources:

JUnit: JUnit is a JavaScript library that is used to verify the interoperability of JavaScript code written in other programming languages. Before putting their servers online and talking via web protocols, programmers use JUnit to test their JavaScript code for compatibility with known databases or other server-side technologies. So, it is important to become familiar with JUnit before you apply for remote senior back-end API developer jobs.

REST: REST is a programming tool that assists programmers in documenting the current APIs of web-based services and applications that communicate with these APIs. Programmers can use this tool to test their apps using RESTful APIs to ensure architectural stability or find appropriate issues. Because of its utility, you need to learn the skill to land remote senior back-end API developer jobs.

JSON: JSON is a programming language that allows programmers to move data between applications. JSON can be used to assess API compatibility between different websites.

XML editing tools: These tools allow programmers to create XML programs. Since many programs use XML, knowing the technology and its components can aid programmers in continuing to verify software compatibility and developing web-based API skills or internet application integration. So, you need to learn the skill to get hired for senior back-end API developer jobs.

PHP: PHP is used by programmers to manage dynamic content, JavaScript, and CSS files to keep track of programming sessions, configure databases, and create websites. They can also verify database compatibility and develop API skills by using PHP editing tools with MySQL.

Interested in remote senior back-end API developer jobs?

Become a Turing developer!

Apply now

How to get remote senior back-end API developer jobs?

We've looked at the skills for remote senior back-end API developer jobs. When you practice, the most important thing is to give it your all. Every day, new technological developments transform industries. As it grows more popular, more people will enter the field, increasing your competition. It won't be difficult to advance your career if you keep up with current industry trends.

Turing has the top remote senior back-end API developer jobs available to help you meet your back-end API engineer goals. You'll also have the chance to hone your talents by collaborating with other brilliant engineers on challenging technological problems. Find full-time, long-term remote senior back-end API developer jobs with higher pay and professional advancement by joining a global network of the best senior back-end API developers.

Why become a senior back-end API developer at Turing?

Elite US jobs
Career growth
Exclusive engineer community
Once you join Turing, you'll never have to apply for other senior back-end API developer jobs.
Work from the comfort of your home
Great compensation

How much does Turing pay their senior back-end API developer?

At Turing, every senior back-end API 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 to grow your senior back-end API developer career. Our recommendations are based on our analysis of existing 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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