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From better salary to career growth, top developers speak about the advantages of working with Turing.com.
Rating4.65OUT OF 5
based on developer reviews as of June 2024

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Tiago
Tiago, Brazil
Brazil
Software Engineer

"I have a pretty good income, and I work for the best US companies"

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Hernan
Hernan, Colombia
Colombia
Fullstack Developer

"I feel like I’m Cristiano Ronaldo and Turing is my manager."

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Baah
Baah, Ghana
Ghana
Fullstack Software Developer

"With Turing, I’ve made more progress as a developer in just one year than all the previous years combined"

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Dhyey
Dhyey, India
India
Software Engineer

"I can work in the heart of Silicon Valley from the comfort of my home"

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Parv
Parv, India
India
ML Engineer

"The culture and experience at Turing is at par with Silicon Valley companies"

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Franco
Franco, Brazil
Brazil
Software Engineer

"Joining Turing was a life-changing decision for me"

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Harsh
Harsh, India
India
Fullstack Developer

"You never have to apply for another job once you’re a Turing developer"

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Bishal
Bishal, Nepal
Nepal
Fullstack Software Developer

"It’s amazing to see how Turing cares for its developers"

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Peter
Peter, Nigeria
Nigeria
Fullstack Developer

"With Turing, I’ve accomplished all things that I couldn’t three years ago"

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Roshan
Roshan, Nepal
Nepal
Fullstack Developer

"I earn more than any of my previous jobs"

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Why join Turing?

Elite US Jobs

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Career Growth

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Elite engineers give their Turing reviews

Here's what the world's best remote developers have to say about their experience with Turing.com.

Turing.com review by Indian DeveloperSateeshSoftware Developer

I wanted to work with a US company and that's when I found Turing! The best part is the job flexibility. I don't need to follow the 9-5 routine. I also get to work with people from various cultures across the globe and grow with them.

Baah shares Turing.com ReviewBaahFull-stack Developer

I am a full-stack developer from Ghana. I honestly felt a dramatic change in my life when I joined Turing. My financial health is better than ever and I feel I have made more progress as a developer in the 1 year I spent at Turing than all the years before. As a Turing developer, you will get to work on world-class projects with the top tech leaders.

FahadSoftware Developer

Even since I have become a remote developer at Turing, I’ve been enjoying the flexibility and other perks that this job offers. I would recommend interested developers to definitely apply for Turing. I am sure you'll enjoy working here and can give your own Turing review to your friends. All the best and hope you succeed in becoming a Turing developer soon.

BadisSoftware Developer

I’ve been working as a Turing developer for the past 2 years. It's been a life-altering experience for me because Turing helped me unlock my full potential. They gave me a chance to work on challenging yet exciting high-profile projects. If you think that you’re good at what you do, then you should definitely apply for Turing jobs.

SebastianProduct Designer

When I started my journey as a freelance product designer, I had to invest most of my time into finding new clients and getting new projects. Luckily, while surfing the web, I came across a few Turing.com reviews and decided to apply there. Life has changed a lot after that. People at Turing not only find me outstanding tech projects that match my abilities and take care of all the agreement details but also follow my relationship with clients every step of the way.

Software Developer Quang share his experience working with Turing jobsQuangSoftware Engineer

Before joining Turing, I had 7 years of software engineering experience in web development and ML and Data Mining. Turing allowed me to explore my passion for creating long-term value for customers. They also helped me in applying new technologies to increase product quality. Thanks to Turing, I have a very healthy work-life balance now. I really hope my Turing review will be helpful for you in some way.

ErmalSoftware Developer

Before joining Turing, I was working as a software developer for almost 6 years with extensive experience in game development. But it is only after I became a Turing developer, I began to manage my time better, stayed focused on my career goals, became more adaptable. I also learned how to work with different technologies and global teams. If I were to ask to review Turing.com, I would say it has been a rewarding journey for me so far.

ElvisiOS Developer

I work as a Turing iOS developer. My experience with them has been really good. Guys at Turing matched me with a top client super quickly. I found the entire matching process to be very precise and smooth. It’s rare to find a company that delivers on its promises. But both Turing and the company I got matched with kept their promises. From my experience I can tell you once you get here, your work-life becomes easier and you can focus on doing what you love the most.

HadjiFull Stack Developer

Although I had worked at oDesk and Elance (now popularly known as Upwork) for more than 5 years, the pivotal moment in my career came when I joined the global team of Turing in 2020. I never imagine that the role I would be offered would come with such stability and prominence. Apply to be one among many Turing developers. It will change your life like it did mine!

Turing DeveloperAhmedFull Stack Developer

I’ve been working as a full-stack developer and solution architect with more than 10 years of experience. My experience as a Turing developer has been quite amazing. My onboarding process was super smooth. Although I had read a few Turing.com reviews about the onboarding process here, I never really expected it to be this awesome. My coordinator helped me in every single step- from getting hired by top Silicon Valley clients to making sure my needs were met at all levels.

Clement shares his experience after becoming a Turing DeveloperClementFull Stack Developer

I have been working as a full-stack developer at Turing.com for more than a year now. While applying for Turing jobs a year back, I found the Turing test to be very challenging. But it was a good learning experience for me. Through the AI/ML-enabled tests, Turing reviews how good you’re with your skill. Working with Turing has been a very satisfying experience for me so far. I get to work for Silicon Valley companies and enjoy good pay as well. I am also part of an elite community of the world’s best developers.

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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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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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