Turing

Remote SAP developer jobs

We, at Turing, are looking for qualified remote SAP developers who will be responsible for the development, maintenance, and optimization of the organization’s servers and systems. 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

  • Define and develop technical standards to create and maintain programs that will run on SAP systems
  • Develop code in ABAP language and ensure it’s efficient and compliant with SAP best practices
  • Participate in testing and validating operating controls to fulfill development requirements
  • Analyze high-level business processes and requirements to ensure a quality product
  • Participate in project quality management, peer review the specifications, design documents, and code optimization
  • Assist in optimizing work processes by automating tasks and building data processing functions
  • Manage and analyze public and hybrid clouds while integrating and maintaining SAP solutions
  • Stay current with emerging technology trends and suggest improvements

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, IT (or equivalent experience)
  • At least 3+ years of experience in building SAP solutions (rare exceptions for highly skilled developers)
  • Knowledge of ABAP programming and SAP systems like HR and FICO
  • Expertise in developing SMART Forms and SAPscript
  • Experience in web service development
  • Solid understanding of SAP workflow development
  • 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

  • Familiarity with Agile methodologies and object-oriented programming
  • Experience working with hybrid and public cloud systems, containerization, orchestration, and workflow automation
  • Knowledge of AIOps, Kubernetes, DevOps best practices
  • Experience in maintaining and integrating SAP SaaS solutions
  • Great analytical and problem-solving skills
  • Strong time-management and interpersonal skills

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How to become a remote SAP developer?

An SAP developer creates solutions to guarantee that a company's servers and systems are optimized. They aid in the optimization of corporate operations by offering programs that automate billing, data input, invoicing, and other data processing activities. SAP software is used by many large firms to record and handle financial, sales, buying, and manufacturing data. SAP programmers guarantee that enterprise programs run efficiently and that any faults are resolved.

SAP has made a contribution that other software businesses haven't: its own programming language. A SAP developer's job description might include writing applications in ABAP (Advanced Business Application Programming). Java is also used in the development of several SAP projects.

What is the scope in SAP development?

SAP continues to collaborate closely with clients on emerging technologies like ABAP on the Cloud in order to create first what the customer requires right now.

The integration with the HANA database and the introduction of new programming models to facilitate the development of Fiori or other web apps are the most significant ABAP advances. SAP created the ABAP RESTful Programming Model for this purpose. This is also the standard inside SAP for creating Fiori apps, which means that thousands of SAP developers use it on a daily basis. As a partner or customer, it makes sense that you become familiar with it as well, as it is the method to construct new or enhance current Fiori applications.

Another significant shift is the S/4HANA Cloud environment, which adheres to a stringent "clean core" paradigm to ensure future upgrades and updates. SAP, as we all know, transmits every code, but developers can no longer utilize everything. The focus of development will be on public APIs and obvious expansion points, as is customary in other systems. It is critical to remember that this will also be the case in the (near) future for the on-premise environment! All of the functionality is now available in the SAP BTP ABAP Environment or Steampunk.

As a consequence, a career in SAP development is an excellent fit for you. But before you start looking for remote SAP developer jobs, learn more about what a SAP developer does.

What are the roles and responsibilities of a SAP developer?

SAP developers often construct programs that streamline business operations using SAP's Advanced Business Application Programming language. SAP developers are hired by companies that employ SAP and ABAP code to verify that a website's or program's back-end procedures are completely functional. SAP developers write code depending on their clients' or employers' requirements for the operations that their SAP system should do. These programmers usually have a solid grasp of business processes and can write the appropriate code to carry out those functions.

The following are the primary tasks after a job offer for remote SAP developer jobs:

  • Define and define technical standards for developing and maintaining SAP-compatible applications.
  • Develop code in the ABAP programming language and verify that it is efficient and follows SAP best practices.
  • Participate in the testing and validation of operating controls in order to meet development goals.
  • To ensure a high-quality product, examine high-level business procedures and needs.
  • Participate in project quality management, peer review, and code optimization.
  • Automate jobs and construct data processing features to aid in the optimization of work operations.
  • While integrating and maintaining SAP systems, manage and evaluate public and hybrid clouds.
  • Keep up with new technological developments and provide suggestions for improvements.

How to become a SAP developer?

Despite the substantial knowledge and experience required for these programming jobs, anybody with a genuine interest in the field—and the ability to accomplish at least some of the obligations outlined above—can find remote SAP developer jobs.

Before applying for remote SAP developer jobs, keep the following in mind:

Education: A bachelor's degree in computer science or a related subject, such as data analytics, information security, game programming, or software engineering, is required for most SAP developers. You might be able to attend SAP courses or seminars at some schools as well.

Experience: After earning your bachelor's degree, you can apply for internship programs. Additional training in developing or programming languages used with SAP systems may be available through some internships. Interning can help you obtain that practical experience and business competence since many SAP developers have a background in finance and business administration. Some firms may extend full-time employment offers at the completion of your internship.

Become certified in SAP ABAP: Within the SAP software system, SAP provides a number of certifications in application, development, and technology. Consider getting your Advanced Business Application Programming certification to specialize in creating and programming (ABAP). You can attend courses from SAP-certified colleges to earn a SAP ABAP certification.

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Skills required to become a SAP developer

The first step in landing high-paying remote SAP developer jobs is to learn the relevant skills. Let's take a closer look at each of the technical abilities.

1. Agile/Scrum methodologies

Agile procedures are product development methods that adhere to the aims and principles of the Agile Manifesto for software development. Experienced developers applying for remote SAP developer jobs use Agile techniques to create the right product by forming small cross-functional self-organizing teams that deliver small chunks of the functionality on a regular basis, allowing for frequent customer feedback and course correction as needed.

Scrum is a software development methodology based on iterative and incremental operations. Scrum is an agile methodology that aims to provide value to clients throughout the project's life cycle. It's adaptable, quick, versatile, and efficient.

2. OOP

Object-oriented programming (OOP) is a programming paradigm that is built on the concept of "objects," which can include both data and code in the form of fields and methods. Before beginning to code, object-oriented programming requires preparation and thinking about the program's structure. Investigating how to break down the requirements into simple, reusable classes that may be used to build object instances. Overall, employing OOP results in more reusable data structures as well as time savings in the long term.

Object-oriented programming concentrates on the things that developers want to control rather than the logic required to do so. This type of programming is suitable for large, complex, and frequently updated or maintained applications.

3. AIOps

AIOps is a new technology category that uses AI and machine learning to improve telemetry data. The idea is to make it easier for teams to assess and act on their data more rapidly while also reducing manual labor.

In a nutshell, AIOps works by giving data intelligence and enrichment. It does not take the place of the developer's role. Instead, it provides time-saving support that allows for more visibility. In the end, it results in a more flawless final product.

4. Kubernetes

Kubernetes is an open-source framework for managing containerized workloads and services that allows declarative setup as well as automation. It has a huge and fast-expanding ecology. Services, support, and tools for Kubernetes are widely accessible.

Kubernetes runs distributed systems in a resilient manner. It oversees scaling and failover for applications, while also providing deployment patterns and similar other features. Kubernetes, for example, are known to effortlessly manage the canary deployment of your system.

5. Problem-solving skills

Remote SAP developer jobs entail building solutions and enhancements for corporate systems. SAP developers have a lot of experience with code and can examine and spot coding flaws and inconsistencies. Problem-solving abilities can enable you to identify portions of code that should be improved. This can aid in the development of solutions and design strategies for preventing or reducing the risk of system mistakes.

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How to get remote SAP developer jobs?

We looked at the qualifications for remote SAP developer jobs. In practice, though, the most important thing is to give it your ALL. New technical developments alter industries every day. As the field grows more popular, more people will enter it, increasing your competition. If you stay up with current industry trends, it won't be tough to develop your profession.

Turing offers the greatest remote SAP developer jobs to assist you to achieve your SAP developer objectives. You'll also get the opportunity to polish your skills by working on difficult technological problems with other bright engineers. Join a global network of the best SAP developers to find full-time, long-term remote SAP developer jobs with better pay and opportunities for professional advancement.

Why become a SAP developer at Turing?

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

How much does Turing pay their SAP developer?

Every SAP developer at Turing has the ability to determine their own fee. Turing, on the other hand, will suggest a pay at which we are confident we can locate a rewarding and long-term chance to further your SAP developer career. Our recommendations are based on a thorough examination of current market conditions as well as consumer desire.

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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