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Remote Django developer jobs

We, at Turing, are looking for Django developers who will be responsible for developing secure and maintainable web applications. Here's your chance to accelerate your career while working with industry veterans at top U.S companies.

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Job description

Job responsibilities

  • Implement Python code using Django framework
  • Identify bottlenecks and fix software bugs
  • Write and maintain project documentation
  • Create multiple unit tests to ensure smooth functioning of the software applications
  • Design and implement reliable, low-latency, and highly performant applications
  • Implement the best security practices throughout the development process

Minimum requirements

  • Bachelor’s/Master’s degree in Computer Science (or equivalent experience)
  • 3+ years of experience in Django(rare exceptions for highly skilled candidates)
  • Experience working with Python, Docker, Flask, or other frameworks
  • Experience working with MVC and event-driven programming
  • Knowledge of SQL and REST APIs
  • Fluency in English to collaborate with engineering managers
  • The ability to work full-time (40 hours/week) with a 4-hour overlap with US time zones

Preferred skills

  • Proficiency in code versioning tools, such as Git
  • Good understanding of distributed systems and algorithm optimization
  • Basic understanding of front-end technologies, such as HTML, CSS, and JavaScript
  • Working knowledge of some ORM (Object Relational Mapper) libraries

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How to become a Django developer?

In the current tech landscape, there are few technologies that are as relevant as Django. It is a high-level Python-based web framework that helps developers to speed up development cycles. Django has been able to simplify multiple steps in web development processes, thereby helping developers to concentrate on building the app. It also adds capabilities to create clean and pragmatic designs to promote the usability of services. With the rise in popularity of the framework, countless professionals have developed careers working Django developer jobs. But getting hired for vacancies like remote Django developer jobs at elite companies will require an updated tech stack.

Owing to the growing reliance on the framework, companies always look to bring in the very best of the lot. Recruiters are often asked to find experienced professionals with potential leadership capabilities. Possessing the necessary knowledge and resource management skills can help to boost your chances of building a career as a Django specialist. So, if you're looking to take your career ahead with roles like remote jobs for Django developers, one of the most important repayments is an updated tech stack.

What is the scope for a Django developer?

With the gradual increase in the use of the Django framework, experts have been carved out their professional worth. Especially with the gradual rise of analytical solutions and big data services among businesses. As a Django specialist, you can expect to find multiple vacancies around the year. Even though the demand offers opportunities, at the same time, you will need to select an employer that suits your professional goals. As the framework offers a wide range of capabilities, companies are also looking to adopt Django-based solutions. Being a Python-powered framework, it offers a variety of options for data-based solutions. So if you're looking to apply for vacancies like Django developers work for home roles, keep upgrading your skillset. Also, with the dependence on data, career prospects are projected to be on an upward trajectory.

What are the roles and responsibilities of Django developers?

Every position in the modern tech industry has its set of responsibilities. Like all other positions, Django developer jobs also need expertise in multiple fields related to the domain. To build a successful career, you need to have familiarity with both the basic and advanced job responsibilities. But the duties can vary a lot based on one company to another and their expectations. In addition to technical responsibilities, a developer may need to take charge of other areas like resource management or team building based on their experience level. Qualities like leadership skills and project budgeting can help to boost your chances of getting hired for vacancies like work from home Django developer jobs. So, to secure a steady career path working remote Django developer jobs, here's a list of roles and responsibilities that you need to be familiar with and mention on your Django developer resume:

  • Work with stakeholders and fellow developers.
  • Design and implement Python code using the Django framework.
  • Identify and fix bottlenecks that may arise from inefficient code.
  • Identify and fix software bugs.
  • Create a wide variety of unit tests to verify the functionality of the software.
  • Manage the security of the platform.
  • Write detailed documentation around the code.
  • Knowledge of front-end languages.
  • Ability to communicate efficiently and collaborate with cross-functional teams
  • Ability to adapt to developing trends and modern digital solutions

How to become a Django developer?

As Django-based solutions gain more relevance, building a career in the same can become more complex. With more companies looking to rope in the best available Django developer jobs, the competition for the best position has become highly competitive. To build a successful career specializing in Django, you'll need to build up your development skills continuously. Recruiting managers always look to bring in experienced developers who are well-versed in the domain—people who can actively contribute from the start to take charge of entire projects. So, if you wish to get hired for the best remote Django developer jobs, here's a list of qualities you must possess.

  • A degree in computer science or related fields should help you start your journey to become a Django developer. Such a degree works as the backbone of a developer's knowledge base in the field. Employers prefer to hire applicants showcasing thorough knowledge of best practices and latest software development trends. But to secure the best opportunities, you'll need to stay updated with the latest trends
  • You’ll need to have at least 3-5 years of professional experience to get hired for the best Django developer job vacancies with elite companies. Ideally companies look to bring in new professionals with capabilities of leading processes and developing innovative ideas.
  • Past experience of building Django-based solutions will also offer an advantage in getting hired for such positions. Proven experience in similar roles gives recruiters confidence in your abilities and increase chances of getting hired.
  • Experience of working Django developer jobs as team leaders will also give an advantage. Companies always prefer to hire people who they can entrust to lead teams and manage projects. In addition, the ability to mentor developers, when required, can also help you to land the best Django developer work from home jobs.

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Essential skills required to work as a Django developer?

To be considered eligible for Django developer jobs, every company has their own set of requirements. While the requirements can differ from company to company and industries, a wide range of technical knowledge is essential. When applying for vacancies like Django developer remote jobs, ensure that your tech stack aligns with the company's requirements. The daily life of Django developer jobs can include a wide range of responsibilities including development, testing, and maintenance of developed solutions. Ideally, you should be able to take charge of such activities using your deep developer skills and produce cutting-edge solutions.

So, to secure the highest paying and technically fulfilling Django developer jobs, it is important to stay updated with the latest trends. You should also spend time understanding the growing market of data-driven business strategies and services. So, to get hired for the best available Django developer jobs, here's a list of essential requirements:

1. Knowledge of Python

One of the core skills required to gain success while working Django developer jobs is thorough understanding of Python and related technologies. Python works as the backbone of Django-based projects making it imperative for finding success in the role.

2. Software testing

Working in the software development industry is not just about building products and digital solutions, maintaining quality and long term usability is also essential. Knowledge and expertise in software testing will be another key skill to develop if you're looking for a long career working Django developer remote jobs.

3. Knowledge of modern practices

Companies looking to bring in new professionals for Django developer jobs look for people with an updated skill set and thorough familiarity with best practices. This is extremely important as it helps to promote usability and the ability to integrate popular features that are changing how business is done.

4. Interpersonal skills

Another key skill to drive success while working Django developer jobs is the ability to communicate efficiently. Interpersonal skills play a vital role in the current tech industry as it often acts as the key driving force for innovations. The ability to communicate confidently and take part in brainstorming sessions can help to build unique ideas to tackle new or tricky situations. Interpersonal skills will also help you to be considered for leadership roles as it helps to bind teams together to motivate teammates to push ahead to find success.

5. Technical proficiency

Companies prefer their developers to be well versed with the developing trends and new tools to produce cutting edge solutions. Build up fullstack end-to-end development knowledge to present yourself as one of the best choices for vacancies like remote Django developer jobs.

Interested in remote Django developer jobs?

Become a Turing developer!

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How to get a remote Django developer job?

Turing provides the best Django developer positions available, all of which are targeted to your professional objectives as a developer. Working with cutting-edge technologies to solve complex technical and business problems will help you expand quickly. Join a network of the world's best developers to get full-time, long-term Django developer jobs with higher pay and professional advancement.

Why become a Django developer at Turing?

Elite US jobs

Long-term opportunities to work for amazing, mission-driven US 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 US firms from the comfort of your home.

Great compensation

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

How much does Turing pay their Django developers?

Turing's Django developers are able to set their own rates. Turing, on the other hand, will suggest a salary at which we believe we can provide you with a fulfilling and long-term opportunity. Our recommendations are based on our research of market conditions and our perceptions of customer 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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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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