Turing

Remote Python/Scala engineer jobs

We, at Turing, are looking for highly-skilled remote Python/Scala engineers who will be responsible for programming and software development using Python and Scala programming languages and related tools and frameworks. Get a chance to work with top U.S. companies and accelerate your career.

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Job description

Job responsibilities

  • Collaborate with different users and engineering teams to develop new programming methods
  • Write clean, testable, effective Python/Scala code
  • Participate in interpreting architecture and design, code reviews
  • Contribute to developing new functionalities based on end-user requirements
  • Analyze the risk report and visualize requirements to find solutions
  • Make software modifications from supplied requirements and specifications by software architectures
  • Ensure adherence to programming and documentation policies, software development best practices, testing and release

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, IT (or equivalent experience)
  • 3+ years of experience working as a Python/Scala developer (rare exceptions for highly skilled developers)
  • Extensive experience with Python, Scala, and Spark
  • Proficiency with Python Django frameworks
  • Experience in handling large sets of complex data from different sources and databases
  • Solid grasp of database engineering and design principles
  • Strong knowledge of Java, Spark, PySpark, Python, API development and RESTful web services
  • Skilled at setting up and executing automated functional, UI and load/performance tests
  • Experience working with NoSQL databases/indexers, like MongoDB, Cassandra, Elasticsearch etc.
  • 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 CI/CD methods
  • Proficiency in RDBMS development (e.g. Oracle) & SQL skills
  • Knowledge of ETL tools including Informatica, Talend, Matillion, etc.
  • Understanding of service patterns and protocols like Web Services, API, REST, RPC
  • Familiarity with DevOps and Agile software development methods
  • Excellent problem-solving and analytical skills

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How to become a remote Python/Scala developer?

Expertise in languages like Scala and Python can help developers to scale their ranks in the software industry. Both languages can help to build solutions that can exceed current standards and offer a usable and performant solution. But to get hired as a Python/Scala engineer, a certain set of skills is essential. In the present software development industry, few languages can match the popularity of Scala. The language is used by developers around the world and seems to fit requirements for various niches. Scala is a strongly statically typed language programming language offering support for both object-oriented programming and functional programming requirements. It is also a concise language and can efficiently address the shortcomings of Java. The language is widely used for services like data processing, distributed computing, and also for web development.

Python is also one of the most popular languages implemented in the current software development industry. It is a high-level general-purpose language built with a design philosophy emphasizing code readability. Python as a language can support projects of almost every niche and help build websites and software, automate tasks, and conduct data analysis. The language is also highly efficient for developing data-driven applications. The language is easy to master as it uses simple syntaxes with emphasis on readability and has been proven to help reduce the cost of program maintenance. The language also offers support for modules and packages which also helps developers to reuse code. Based on such benefits, Python as a language has become one of the most popular languages in the current industry.

What is the scope of Python/Scala development?

With the world of tech and business growing more reliant on data-driven solutions, languages like Python and Scala have become extremely popular. Both languages are in use for a significant amount of time and are considered as defining skills for developers. The languages have not only gained popularity but have also managed to become a preferred choice for many developers around the world.

As a developer, the ability to develop solutions based on Python or Scala can aid your professional aspirations. Built to support modern data-driven development processes, it can potentially open up new and exciting career opportunities. As a matter of fact, companies actively search for experienced Python/Scala developers capable of driving projects.

So for developers with expertise in the languages, the future can be full of new opportunities. Having a deep understanding and innovative approaches to utilizing the languages can allow developers to build solutions fit for the constantly evolving industry.

What are the responsibilities and roles of a Python/Scala developer?

If you wish to work and define your career as a Python/Scala, it is essential to know the basic set of responsibilities for the role. When hired for such roles, you might need to contribute to various processes associated with a new or ongoing project. Some of the daily responsibilities will include tasks like writing codes on Python and Scala while also assisting to perform code review to maintain quality standards. When hired you also would be excepted to help construct new functionalities based on feedback and new requirements. You can go through the list below to get a detailed understanding of the various responsibilities of a Python/Scala developer.

  • Expertise in working with Python, Scala, and Spark
  • Deep understanding of Python Django frameworks
  • Experience working with NoSQL databases/indexers, like MongoDB, Cassandra, Elasticsearch, etc
  • Solid grasp of database engineering and design principles
  • Strong knowledge of Java, Spark, PySpark, Python, API development, and RESTful web services
  • Skilled at setting up and executing automated functional, UI, and load/performance tests
  • Understanding service patterns and protocols like Web Services, API, REST, RPC
  • DevOps and Agile software development

How to become a Python/Scala developer?

If you’re interested in becoming a professional Python/Scala developer at top tech organizations, you need to possess a certain set of expertise. You need to possess a thorough understanding of essential solutions and technologies closely related to Scala/Python-based projects. Most companies prefer to bring in developers with proven professional experience to ensure product quality. Along with the basic technical skills, as a developer, you should constantly keep upscaling your knowledge to contribute to new and evolving customer-facing projects. To find success in the role, knowledge of modern data-driven solutions and services should also be helpful.

Along with technical proficiency, a degree in Computer Science or related fields should also help you to become a Python/Scala developer. While a technical degree is not mandatory to become a Python/Scala developer, having makes the process simpler by increasing chances of getting hired. For more information related to the requirements of the role, you can go through the following section.

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Skills required to become a Python/Scala developer

In order to build a successful career as a Python/Scala developer, developers need to possess expertise in working with technologies. To work as a Python/Scala developer you'll need to develop capabilities of working with

1. Python

One of the primary requirements to become and get hired in such a role is a strong grasp of the Python language. Companies these days prefer to hire Python experts with proven professional experience of working with the technology and building modern business-oriented solutions. You also need to consistently upgrade your knowledge about Python development and stay updated with the latest developments in data-driven approaches. The modern world of business is managed by data-driven strategies to take better and more informed decisions. So, if you wish to work at top tech firms in roles, keep increasing your Python development knowledge from time to time.

2. Scala

A thorough understanding of Scala will also help you to get hired for such positions in the industry. The language is well known for its versatility and offers support for various product niches. As a programming language, Scala offers plenty of benefits, including support for both object-oriented and functional programming. Scala is a pretty concise language and is often used to tackle the shortcomings of Java. Often deployed to set up services like data processing and distributed computing, Scala has emerged as a high-value technology for the modern environment. Over the years of being in use, Scala has become a preferred choice for many around the world with growing popularity. So, if you aim of becoming a successful Python/Scala developer, keep improving your understanding of the language.

3. Java

The ability to work on Java is also an essential requirement to be an expert Python/Scala developer. Java is one of the most popularly used programming languages capable of supporting projects of several niches in the software development industry. The language has been in use for more than a decade and become a preferred choice of developers. One of the biggest advantages of working with the language is the ability to write and run codes anywhere irrespective of the architecture of the system. The language can help with almost every requirement for modern software development projects including cross-platform services. The language is also well known for its advantages like the option of compiling codes on any platform supporting Java Runtime Environment. So, in order to improve your chances of getting hired as a Python/Scala developer, keep improving your Java knowledge with time.

4. API

In the current software development landscape, few resources are as important as APIs. Integrated for developing applications for a variety of industries, it offers a lot of versatility to developers. The use of APIs has been proven to be efficient in improving the productivity of teams. It offers a streamlined platform to improve connectivity and collaboration among the developers. But one of the biggest addresses of using such resources is the option to set up data pipelines to find new trends and revenue funnels. Such features make the APIs a must-have skill for modern software and web development processes.

5. Interpersonal skills

Working in the modern software development industry requires a lot more than technical proficiency. Developers today need to undertake various responsibilities outside their core competencies. They often also need to collaborate with different cross-functional teams and interact with clients to produce high-quality software. For which, interpersonal skills play a huge part in today’s agile work culture. Developers need to actively interact and share their opinion from time to time to keep the chain of information flowing. So to find success working as a back-end integrations engineer, brushing up on language skills and openness to collaborate has become essential.

Interested in remote Python/Scala developer jobs?

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How to get hired as a remote Python/Scala developer?

Companies today prefer to work with professionals with a deep understanding of important technologies. For which constantly upgrading personal tech stack and developing knowledge of various domains has become essential. In addition to core technologies required for Python/Scala development, developers also need to have a clear idea about user preferences. This allows developers to build entire applications and front-ends drawing inspiration from preferred features. The primary objective of any back-end integrations engineer is to build efficient solutions that offer class-apart user experience using intuitive interfaces.

Turing has quickly become the premier platform for taking careers forward working as a remote Python/Scala developer. We provide developers opportunities to work on era-defining projects and business problems using state-of-the-art technologies. Join the fastest growing network of the top developers around the globe to get hired as a full-time and long-term remote Python/Scala developer with the best pay packages.

Why become a Python/Scala developer at Turing?

Elite US Python/Scala developer jobs
Career growth
Exclusive developer community
Once you join Turing, you'll never have to apply for another jobs
 Work from the comfort of your home
Great compensation

How much does Turing pay their Python/Scala developer?

Every Python/Scala developer at Turing can set their own pricing. Turing, on the other hand, will recommend a salary to the Python/Scala developer 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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