Turing

Remote integrations engineers jobs

We, at Turing, are looking for highly-skilled remote integrations engineers who will plan, design, and implement the integration process as well as participate in keeping documentation of the process. Get a chance to work with top U.S. companies and accelerate your career.

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Job description

Job responsibilities

  • Take charge of the integration of controller system and user interface software
  • Interact with simulated software and prototype systems to identify and resolve system-level functional problems
  • Coordinate proactively with cross-functional development teams to ensure the deliverable products meet end-user requirements
  • Provide system integration demonstrations and milestones
  • Find and implement new opportunities to improve the product development process
  • Collaborate with product management and platform teams to ensure the best product performance
  • Understand, advocate, and contribute to the product vision focused on performance, capability, and easy accessibility
  • Establish and maintain a cooperative relationship with co-workers, stakeholders, and clients

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • 3+ years of experience in software systems integration consulting or engineering (rare exceptions for highly skilled developers)
  • Experience working in all stages of systems development life cycle
  • Expertise in systems integration with XML, SOAP, REST APIs
  • Strong knowledge of scripting languages like Bash, Python, Perl, TCL, etc.
  • Good understanding of Version Control systems like GIT, SVN, etc.
  • Good understanding and working experience with Linux/Unix OS
  • 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

  • Working knowledge of SQL
  • Proficient with CI/CD tooling like Jenkins, Maven, Docker, Ansible, Kubernetes
  • Clear idea of Java Servlet containers (Tomcat) and Apache HTTP Server
  • Understanding of computer networks and internet protocol suite
  • Familiarity with object-oriented software design principles, data structures, and algorithms
  • Knowledge of different software development methodologies including Waterfall, Agile (Scrum, Kanban)
  • Excellent problem-solving, interpersonal, and communication skills

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How to become a remote Integrations engineer?

User choice patterns are dictating the world of customer-facing software and services. Integrations are widely used in the current market to deal with changing needs and increasing requirements. The use of third-party Integrations has risen dramatically during the last decade. This has allowed developers to easily adjust critical features and functions to improve the usability of their applications. As a result, the value of Backend Integrations engineers has risen in the market.

Companies actively seek developers who can take ownership of projects, recognizing the need to establish a team capable of meeting the demands of current apps. Integrations engineers are high-value experts in today's business, capable of driving several development processes. With the correct personnel, a team may design more efficient apps and perhaps become the preferred option. As a result, for developers interested in pursuing a career as an Integrations Engineer, the future may provide a plethora of new possibilities.

What is the scope in Integrations engineering?

The growing relevance of remote access and digitally connected services will provide plenty of chances for backend developers in the coming decade. The need for specialists has risen as a result of the rising number of people who are embracing the digital revolution every day. Backend developers with a focus on Integration procedures and the appropriate skill set may easily land the top opportunities on the market.

Backend Integrations are a vital element of any development process, and they must be scalable to keep up with the market's changing needs. A strong grasp of Integration procedures will also be defining abilities as the number of new third-party plugins and extensions that make software development smooth grows. Stay up to speed on the newest advancements and releases if you want to further your career as an Integrations engineer. Also, continue to expand your understanding of how to deal with related technology.

What are the responsibilities and roles of an Integrations engineer?

Expect to be involved in practically every part of the development process if you are employed as an Integrations engineer. Integration developers with a few years of expertise are constantly sought after by top software businesses. Such hires are frequently advantageous since experienced developers provide the opportunity to uncover future leaders. Expect to be intimately involved with duties such as third-party Integrations, test automation setups, aiding in code reviews, and more as an Integrations engineer. In order to grasp critical backend services and prioritize development processes, you'll need to pay great attention to project specifications. You may also need to work with members of the front-end team to create optimal features.

If you're searching for a job as a backend Integrations engineer, you may expect to do things like:

  • Create interfaces that may be used to connect multiple systems.
  • Use REST, SOAP, or Vendor SDKs to write backend code for integrating third-party devices and APIs.
  • Collaborate closely with external teams to build solutions that are tailored to the needs of customers.
  • Contribute to the procedures of synchronization and automated testing.
  • Write efficient front-end scripts to aid Integrations.
  • Actively participate in the development of public APIs.
  • Build microservices with engineering teams using Docker and AWS.
  • Participate in the creation of high-quality software.
  • Review the code on a regular basis and give helpful criticism.
  • Implement engineering best practices that are of high quality.

How to become an Integrations engineer?

Integrations are an important aspect of every software development project, and they need a deep knowledge of industry standards. To be successful in such positions, you must be knowledgeable with API Integration and testing procedures, as well as protocols such as NTP and PTP. You should also be comfortable working with a variety of current programming languages for creating customer-facing applications. You should be able to speak confidently in addition to knowing how to build backend connectors. Interpersonal skills are more important in today's workplace, especially as distant employment becomes more popular. A bachelor's degree in computer science or a similar discipline will make it simpler to land the greatest jobs at top businesses.

A great career may be built by professionals that have a skill set that covers every part of backend development and Integrations. As a backend developer, you need to have a good awareness of consumer preferences in order to come up with the proper logic for each specialized product. Check out the next section to learn more about the essential abilities needed to succeed as an Integrations engineer.

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Skills required to become an Integrations engineer

Developers must have experience dealing with technologies in order to establish a successful career as an Integrations engineer. Working as an Integrations engineer will need you to build skills in the following areas:

1. Python

Python is the most extensively used general-purpose programming language in the world today. The language, which was created to increase the readability of programmes, has fast become a popular choice. Python was created utilizing an object-oriented approach to assist programmers in writing clean, efficient, and logical scripts for various sorts of development operations. Python is a great choice for constructing data analytics, machine learning, and other data-driven applications, in addition to current online and mobile app development projects. It's a powerful programming language that can handle a wide range of tasks, including defining application logic.

2. Java

Java is also one of the most important languages to learn if you want to work as an Integrations engineer. Java is a general-purpose programming language that can handle a variety of niches. It is one of the most extensively used programming languages today. It is a popular choice among developers since it allows them to create and run code regardless of the system's architecture. It's also a language with write-once and run-anywhere paradigms, allowing programmers to compile their programmes on any platform that supports the Java Runtime Environment. So, if you want to work as an Integrations engineer, having a strong understanding of Java programming would be really beneficial.

3. RESTful APIs

REST stands for representational state transfer and refers to a collection of specifications and protocols for developing and integrating applications. RESTful APIs are an excellent alternative for software development in a variety of domains, and they may also aid with scalability. One of the distinguishing characteristics of an Integrations engineer is the ability to take responsibility for Integration procedures and produce detailed documentation. As a result, continue to have a full grasp of API-related duties such as building, changing, and maintaining. To build the essential logic, you should also be able to comprehend project requirements.

4. Versioning tools

The majority of today's IT companies create and manage software systems utilizing compact, scalable code modules. This helps teams to keep applications stable even as they configure upgrades and new features. Version control systems provide deep insight to operate efficiently in such structures. These tools may be used by developers to maintain track of code changes performed throughout the development process. It not only assists developers in staying current with the codebase, but it also assists in fast switching to a stable version in the event of an emergency. As a result, having knowledge of or expertise with such tools can assist you in becoming a more efficient Integrations engineer.

5. Interpersonal skills

Working in the current software development sector demands a great deal more than technical expertise. Today's developers must take on a variety of duties in addition to their primary abilities. To build high-quality software, they frequently need to engage with various cross-functional teams and connect with clients. Interpersonal skills, in particular, play a critical role in today's agile work culture. To keep the knowledge chain moving, developers must actively communicate and offer their opinions on a regular basis. So, if you want to succeed as an Integrations engineer, you'll need to brush up on your language abilities and be willing to cooperate.

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How to get remote Integrations engineer jobs?

Companies nowadays seek to deal with experts that have a thorough grasp of key technologies. As a result, it's become critical to keep one's own tech stack up to date and to expand one's understanding of diverse fields. Developers must have a comprehensive understanding of user preferences in addition to the essential technologies necessary for backend development. This enables developers to create complete applications and front-ends based on their favorite features. Any Integrations engineer's major goal is to provide efficient solutions with intuitive interfaces that provide a class-leading user experience.

Turing has swiftly established itself as the leading platform for advancing one's career as a remote Integrations engineer. We provide developers the chance to work on game-changing projects and business difficulties utilizing cutting-edge technologies. Join the world's fastest-growing network of top developers to be recruited as a full-time and long-term remote Integrations engineer developer with the greatest salary.

Why become an Integrations engineer developer at Turing?

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

How much does Turing pay their Integrations engineer?

Every Integrations engineer at Turing can set their own pricing. Turing, on the other hand, will recommend a salary to the Integrations engineer 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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