Turing

Remote senior Blockchain engineer jobs

We, at Turing, are looking for a qualified remote senior Blockchain engineer who will be responsible for designing, developing, implementing and distributing secure blockchain-based solutions. 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

  • Research, design, and develop blockchain solutions, including writing smart contracts
  • Evaluate new blockchain technologies and manage the existing applications
  • Integrate blockchain functionality into the business processes
  • Collaborate cross-functionally to determine blockchain technology needs and envisage functionalities
  • Troubleshoot and fix bugs as and when required
  • Document blockchain development processes and comply with best data protection practices
  • Evaluate new solutions and propose changes to improve application performance
  • Stay updated with current blockchain technologies and cryptography methods
  • Prepare and maintain adequate documentation for internal and external needs

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, IT (or equivalent experience)
  • At least 5+ years of experience working with Blockchain technologies (rare exceptions for highly skilled developers)
  • Experience working with Hyperledger and Ethereum technologies
  • Solid understanding of cryptography and smart contract development
  • Proficiency in programming languages like C++, Python, Java, Clojure, and JavaScript
  • Experience in back-end development, algorithms, and data structures
  • Knowledge of cryptography and blockchain protocols
  • Strong grasp on English language for effective communication
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Strong understanding of Blockchain architecture
  • Basic knowledge of finance and macroeconomics
  • Experience working with microservices and enterprise applications
  • Great analytical abilities to evaluate the organization's needs
  • Strong interpersonal, problem-solving, and time-management skills

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How to become a Sr. Blockchain engineer ?

In any company, a Blockchain Engineer is the expert mind behind the development of computer networking, cryptography, data structures, and algorithms. They also have expertise in specific blockchain technologies such as Bitcoin and Ethereum. Blockchain engineers often have extensive experience building and deploying digital blockchain for the purpose of offering solutions to technology or data consulting organizations. Furthermore, the Sr. Blockchain Engineer job is not confined to development. In fact, they are expected to examine the company's requirements and either work on current open-source technology or create new ones.

Blockchain Engineers are also expected to create and execute assets, accelerators, and infrastructure setup procedures. Along with this, they must work largely on existing platforms like Hyperledger and Ethereum. They must also ensure that all apps are secure in every way. Let us now go over the Sr. Blockchain engineer Job Description in further detail.

What is the scope in Blockchain development?

Blockchain is a freshly emerging technology that is causing international buzz in our digitally shifting world. This technology has brought answers to several financial services and security difficulties. However, blockchain technology is not limited to the financial industry or bitcoin; it is now widely used in a variety of other industries. Furthermore, blockchain-driven sectors are welcoming fresh talent and hiring blockchain developers and engineers. Because the technology is in high demand, you may be the one. Furthermore, blockchain enterprises need blockchain technology professionals. As a result, investing time and money in learning and exploring new technologies is the best approach. This will help you advance in your profession while also ensuring your job stability.

You may work as a Blockchain developer, Blockchain engineer, Blockchain specialist, Blockchain Architect, project manager, UX designer, Blockchain legal consultant, and much more in the blockchain business. Furthermore, blockchain engineers and developers are in great demand across the world. The compensation of a blockchain engineer is among the highest among engineers. A Sr. Blockchain Engineer job is a well-paying career that may benefit you in a variety of ways. But first, let's define the blockchain engineer and his or her functions and responsibilities.

What are the roles and responsibilities of a Sr. Blockchain engineer?

Sr. Blockchain engineer job is to create, implement, and support database technology systems in which data is kept in a linked structure known as a blockchain. They plan and develop blockchain architecture, as well as supervise network design and integration. They frequently use cutting-edge, creative technology to build systems and infrastructures used for sensitive transactions and storing information or assets in contexts where privacy and security are crucial. They are in charge of implementing and maintaining security protocols that ensure the protection of bitcoin, digital assets, and other electronic materials or information.

The main responsibilities in a Sr. Blockchain engineer job are as follows –

  • Investigate, create, and build blockchain solutions, including the creation of smart contracts.
  • Evaluating new blockchain technology and managing current ones
  • Integrate blockchain technology into company procedures.
  • Collaborate cross-functionally to identify blockchain technology requirements and potential functionality.
  • As needed, troubleshoot and repair bugs.
  • Document blockchain development methods and adhere to optimal data security principles.
  • To increase application performance, evaluate new solutions and make adjustments.
  • Keep up to speed on the latest blockchain technology and cryptographic methodologies.
  • Prepare and keep appropriate documentation for internal and external requirements.

How to become a Sr. Blockchain engineer?

The basic academic requirement for a Sr. Blockchain Engineer job is a bachelor's degree in computer science, information systems, or engineering in any technological subject. Some firms also favor candidates with a master's degree. Experience with single sign-on (SSO) security and a solid foundation in distributed database systems might be advantageous when applying for the job. Organizations will sometimes provide people with expert blockchain certification as a benefit, and you can also become a Certified Blockchain Expert by enrolling in the Blockchain Council's online blockchain courses.

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Skills required to become a Sr. Blockchain engineer

You are now aware of the tasks and responsibilities of a Blockchain engineer, as well as the academic prerequisites. Knowing the necessary technical abilities is also important, as it may help you expand your skill set while applying for a certain career. Always double-check the needed skill set for the Sr. Blockchain Engineer job ad. If you lack any of the important abilities, attempt to develop them and use them appropriately.

1. Data structure

The first and most significant skill that a Blockchain programmer must have is data structure. To create and build systems, blockchain engineers must move swiftly with data structure expertise. The whole Blockchain system is made up of data structures. Furthermore, we may define a block as a data structure. Because of their encapsulating data structure and the public ledger running as the Blockchain, blocks operate as groupings of transaction activity associated with the open register. Data structures are one of the most significant Blockchain abilities since they aid in understanding the underlying behavior of the block, the most fundamental element in Blockchain.

2. Smart contracts

Smart contracts are a demanding approach for any prospective professionals among the numerous Blockchain possibilities. Since the early days of Ethereum, smart contracts have been a prominent notion in the business, and newcomers to Blockchain should be aware of this. In truth, smart contracts are hoped to benefit all Blockchain systems. Smart contracts eliminate the need for a middleman in the transaction of goods and services. When all parties involved in the transaction have completed their contractual obligations, smart contracts are usually carried out. Because of Blockchain's decentralized nature, smart contracts are more productive.

3. Cryptography

Cryptography is the process of creating techniques and algorithms to prohibit a foreign entity from reading and comprehending the contents of personal communications during a communication session. The ancient Greek terms kryptos and graphein, which mean "hidden" and "to record," respectively, are also used in cryptography. Several terminologies are used to define cryptography, as indicated below:

  • Encryption: It is the conversion of plaintext (regular text) to ciphertext (which is a random sequence of bits).
  • Decryption: Decryption, the inverse of encryption, converts encrypted text into unencrypted text.
  • Critical: To activate the output of the cryptographic method, a tiny bit of data is required.
  • Cipher: It is a cryptographic approach that converts plaintext into encrypted text using a mathematical algorithm.

4. Programming languages

Depending on the platforms used to develop blockchain environments, blockchain technologies frequently require multiple programming languages. Although developers cannot be specialists in all languages, they must be adept in a variety of them. Java, C++, Python, and JavaScript are some of the most popular blockchain languages. Developers should also have a solid understanding of object-oriented programming and be conversant with a variety of development tools and frameworks.

5. Web development

Blockchain and web development work hand in hand, especially given the emphasis on decentralized applications in blockchain. Sr. Blockchain engineer job requires being well-versed in all facets of web development. That includes not just understanding how to design and construct online apps, but also the technology that underpin them and what it takes to optimize and protect them.

6. Blockchain architecture

Sr. Blockchain engineer job requires a thorough understanding of how blockchain works and the architecture upon which it is built. They should be well-versed in topics like cryptography, consensus, hash functions, distributed ledgers, smart contracts, and any other ideas critical to understanding the inner workings of blockchain. Developers should also be aware of the four different forms of blockchain architecture: consortium, private, public, and hybrid.

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How to get remote Sr. Blockchain engineer jobs?

Athletes and developers are comparable. To thrive at their vocation, one must practice successfully and on a regular basis. They must also put in enough effort to see their talents increase over time. In that view, there are two crucial aspects that developers must focus on in order for that growth to occur: the support of someone more experienced and successful in practice techniques when you're learning, and the usage of more effective practice approaches. As a developer, you must know how much practice to put in, so make sure you have someone to help you and keep an eye out for indications of burnout!

Turing offers the best remote Sr. Blockchain engineer jobs waiting for you. To further your career, work on complex technological and business challenges utilizing cutting-edge technology. Join a network of the world's best developers to get a full-time, long-term remote Sr. Blockchain engineer job with higher salary and professional advancement.

Why become a Sr. Blockchain engineer at Turing?

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Long-term opportunities to work for amazing, mission-driven U.S. companies with great compensation.

Career growth

Work on challenging technical and business problems using cutting-edge technology to accelerate your career growth.

Exclusive developer community

Join a worldwide community of elite software developers.

Once you join Turing, you’ll never have to apply for another job.

Turing's commitments are long-term and full-time. As one project draws to a close, our team gets to work identifying the next one for you in a matter of weeks.

Work from the comfort of your home

Turing allows you to work according to your convenience. We have flexible working hours and you can work for top U.S. firms from the comfort of your home.

Great compensation

Working with top U.S. corporations, Turing developers make more than the standard market pay in most nations.

How much does Turing pay their Sr. Blockchain engineers?

Every Sr. Blockchain engineer has the ability to set their rate at Turing. Turing, on the other hand, will propose a salary at which we are certain of finding you a satisfying and long-term employment. Our recommendations are based on an examination of market dynamics and client 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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