Junior Python Developer Jobs with U.S. Companies

Discover junior Python developer jobs in Large Language Models (LLMs) with prominent U.S. tech companies. Work from home, earn in USD, and contribute to cutting-edge projects leveraging the power of LLMs. 

We're seeking Python developers passionate about web development and proficient in LLMs to create highly scalable, customer-centric, and efficient web applications. 

Join us at the forefront of technological innovation!.

Find remote software jobs with hundreds of Turing clients

Job description

Job responsibilities

  • Collaborate on LLM training with data scientists and ML engineers.
  • Optimize LLMs for enhanced efficiency and accuracy.
  • Stay updated on the latest LLM advancements and apply them to development.
  • Implement Python solutions leveraging LLMs for natural language understanding and generation.
  • Continuously fine-tune and optimize LLMs for enhanced efficiency and accuracy.

Minimum requirements

  • Bachelor's/Master's degree in computer science or equivalent experience.
  • 1+ years of professional software development experience 
  • Proficiency in Python programming for developing and optimizing LLM-based solutions.
  • Hands-on experience with machine learning libraries such as TensorFlow, PyTorch, or Hugging Face Transformers for LLM development.
  • Understanding of Natural Language Processing (NLP) concepts and ability to work with Large Language Models.
  • Analytical and problem-solving skills, particularly in troubleshooting and optimizing LLM implementations.
  • Effective communication skills in English to collaborate with engineering managers and team members.
  • Ability to work full-time (40 hours/week) with a 4-hour overlap with U.S. time zones.

Preferred skills

  • Familiarity with front-end technologies like JavaScript, HTML5, and CSS3.
  • Familiarity in working with LangChain.
  • Familiarity with Data Science and SQL
  • Experience working with RestfulAPIs
  • Working knowledge of vector databases
  • Basic exposure to object-relational mapper (ORM) libraries.
  • Previous experience working on projects involving Large Language Models is a strong plus.
  • Proficiency in Python programming, with a focus on its application in machine learning and natural language processing.

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How to become a successful junior Python developer in large language model development?

To thrive in junior Python developer remote jobs in large language model development, begin by refining your proficiency in Python, delving into its foundational principles, and honing skills for efficient coding. Develop a grasp of natural language processing (NLP) concepts, integral to large language model development. Expand your knowledge by learning the basics of machine learning, recognizing their intersections with language models. Also, you can enhance your learning through hands-on projects, collaborative experiences with seasoned professionals, and staying abreast of industry advancements.

Adding to this, crafting a succinct and comprehensive junior Python developer resume is also crucial to effectively demonstrate your potential to prospective employers

What is the scope of  junior Python developer jobs in LLM?

The role of a junior Python developer in Large Language Models (LLMs) presents a compelling scope within the rapidly evolving landscape of artificial intelligence. This field not only offers developers the chance to work on cutting-edge technologies but also opens doors to exciting opportunities in the realm of junior Python developer jobs. 

Also, if you can collaborate with experts in data science and machine learning as a junior developer you get valuable insights and opportunities to contribute to diverse applications. This includes working on projects like sentiment analysis, chatbots, and language translation.

In recent years, Python has seen remarkable growth. GitHub reports an increase of Python with a substantial 22.5% year-over-year rise in 2022. 

Alongside Python's remarkable growth in recent years, the markets where it is used are also expected to expand. The big data analytics market, in particular, is projected to reach a substantial $103 billion by 2027!

What are the roles and responsibilities of a Python developer in LLM Development?

The Python developer in Large Language Model (LLM) development holds diverse responsibilities, including the implementation and optimization of LLMs using Python, seamless integration into applications, and collaboration with cross-functional teams.As a junior python developer your role involves continuous learning to stay abreast of LLM advancements, development of APIs, troubleshooting, and debugging. In  this role you also contribute to model evaluation, document code and processes, and liaise with stakeholders to understand project requirements. 

Emphasizing scalability, adhering to best practices, and utilizing version control, as a remote Python developer in LLM development you ensure the efficient and effective utilization of Python for impactful contributions in the dynamic field of natural language processing.

How to become a junior Python developer (LLM)?

To become a junior Python developer specializing in Large Language Model (LLM) development involves mastering the fundamental aspects of Python, including its syntax and data structures. 

Parallely, acquiring a foundational understanding of Natural Language Processing (NLP) is also important, laying the the path for effective engagement with LLMs. To further support this learning journey, explore dedicated online resources, courses, or tutorials tailored for LLM development. This proactive approach will not only enhance your knowledge but also pave the way for securing junior Python developer jobs in the  realm of LLMs.

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Skills required for Python developers in large language model development

To excel in junior Python developer remote jobs, you need to develop proficiency in Python, NLP, model frameworks, and collaborative communication for effective Large Language Model development. 

Some of the most common roles for junior Python developers in LLMs encompass positions such as NLP Developer, machine learning Engineer, data Scientist (NLP), chatbot Developer, AI research assistant, text mining specialist.

Let’s have a look at some of the most sought-after skills  for  junior Python remote jobs!

1. Python Proficiency

Mastery of Python programming is essential, covering syntax, data structures, and object-oriented principles. A basic foundation enables efficient use of Python in large language model development.

2. NLP Knowledge

An understanding of Natural Language Processing (NLP) concepts is also vital. This includes familiarity with semantic analysis, syntactic structures, and language generation – which are essential for the development of large language models.

3. Machine Learning Fundamentals

Basic knowledge of machine learning principles is essential as it allows you to understand the training, optimization, and deployment processes of language models. 

4. Model Frameworks

Also, you can develop familiarity with popular large language model frameworks such as Hugging Face Transformers, GPT, or BERT is crucial. By understanding these models you can easily work on creating new innovations in large language models. 

Further to attain proficiency in these skills practice Python interview questions that will significantly enhance your knowledge.

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How to get into remote junior python developer jobs in LLM development?

To work as a Python developer in large language model development, you can explore relevant courses and build a portfolio that can showcase your skills. Apart from this you can engage yourself in open source projects, network with professionals, and stay updated on industry trends. 

Turing provides top-tier remote Python jobs in Large Language Model (LLM) development, offering a pathway to elevate your career as a developer. Join a network of the world's finest LLM developers, unlocking opportunities for long-term, full-time remote positions with competitive compensation and promising career growth.

Why become a junior Python developer (LLM) at Turing?

Elite U.S. jobs

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.

Career progression for a junior Python developer

As a Python Developer, your career unfolds through progressive stages. Starting as a Junior Python Developer, your emphasis is on learning and basic application development. Progressing to a Python Developer role, you design, develop, and test software applications in collaboration with a team. Moving further, as a Senior Python Developer, you tackle more complex projects, mentor junior developers, and may contribute to significant technical decisions. Ultimately, in the role of a Python Developer Team Lead, you lead teams, oversee projects, and exert strategic influence, necessitating a combination of technical expertise and leadership skills.

How much does Turing pay their junior Python developers (LLM) ?

If you’re looking to spin up your career, Turing is your one-stop destination. At Turing, every developer is allowed to set their own price. We do recommend salaries based on the requirements of our clients, market condition and skill set. So sign up to get a high-paying lucrative job from the comfort of your home.

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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Explore remote developer jobs

briefcase
Senior Full-Stack LLM Engineer (Onshore)

Senior Full-Stack LLM Engineer (Onshore)
Dallas Texas - Work from Office

We are seeking an experienced Full Stack Engineer who possesses extensive hands-on expertise across the contemporary technology stack and a collaborative mindset. The ideal candidate will effectively collaborate with cross-functional teams, introduce and advocate for the most recent tools and frameworks, and drive engineering excellence throughout the organization.

As part of this role, the candidate will be responsible for designing and developing high-quality, production-grade code while adhering to industry best practices, coding standards, and architectural principles. Beyond individual contributions, the candidate will play a pivotal role in mentoring and training Jr developers—guiding them through code reviews, knowledge-sharing workshops to accelerate their growth, strengthen their technical foundation, and foster a culture of continuous learning within the team.

Must-Have Technologies: ReactJS, Java 17+, Microservices, AWS/Azure, RDBMS, NoSQL

Core Technical Skills

· 10+ years of hands-on software development experience, with deep expertise in modern Java Full Stack development.

· Strong command of Java frameworks and libraries, including Spring, Spring Boot, and Hibernate.

· Proven experience building single-page web applications using ReactJS, Bootstrap, and Nodejs.

· Hands-on experience designing, developing, and deploying cloud-based architectures on AWS, Azure, or equivalent platforms.

· Expertise developing Java and Spring Boot applications backed by both relational (SQL Server / PostgreSQL) and NoSQL (MongoDB / Elasticsearch) databases.

· Practical experience integrating Large Language Models (LLMs) into applications via APIs (e.g., OpenAI, Anthropic Claude, Azure OpenAI, AWS Bedrock).

· Familiarity with prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases.

· Understanding of responsible AI practices, including data privacy, hallucination mitigation, evaluation, and guardrails.

· Solid hands-on experience developing production applications, data processing scripts, automation tooling, or backend services in Python.

· Working knowledge of modern security frameworks and standards such as OAuth 2.0, OpenID Connect, and JWT.

· Proficient in designing and building RESTful APIs and web services following industry best practices.

· Strong SQL development skills, including query optimization and performance tuning.

· Experience with modern testing frameworks (Jest, Mocha, Chai) and a commitment to test-driven development.

· Solid understanding of front-end architecture principles and data-driven UI development.

· Demonstrated ability to write clean, efficient, and maintainable code that adheres to coding standards and best practices.

· Excellent problem-solving and troubleshooting skills for diagnosing complex technical issues.

Leadership & Soft Skills

· Proven ability to lead, mentor, and grow engineering teams, fostering a culture of technical excellence and continuous learning.

· Experience driving architectural decisions and setting technical direction across cross-functional teams.

· Strong stakeholder management skills, with the ability to translate business requirements into scalable technical solutions.

· Track record of leading end-to-end delivery of complex projects, from design through deployment.

· Effective communicator who can articulate technical concepts clearly to both technical and non-technical audiences.

· Skilled at conducting code reviews, establishing engineering best practices, and raising the bar for code quality across the team.

· Ability to collaborate with product managers, designers, and business stakeholders to align engineering efforts with organizational goals.

· Experience coaching junior engineers, conducting performance reviews, and contributing to hiring and talent development.

· Strategic thinker who can balance short-term delivery pressures with long-term technical investments and technical debt management.

· Ownership mindset — takes accountability for outcomes and proactively drives initiatives forward.

Good to Have (Palantir)

· Hands-on experience with the Palantir foundry, including building pipelines, ontologies, and data-driven applications.

· Familiarity with Palantir's development tooling such as PySpark transforms, TypeScript-based Functions, Workshop.

· Exposure to enterprise-scale data integration and operational analytics workflows built on Palantir.

· Exposure to AI/ML frameworks and tooling such as LangChain, LlamaIndex, Hugging Face, or equivalent.

· Ability to identify and apply AI-driven solutions to real-world business problems and integrate them into enterprise applications.

Real Estate
10K+ employees
ReactJavaMicroservices+ 4
briefcase
Engineering Manager (Java, React – Playwright)

Job Title: Engineering Manager (Java, React, AI Tools)

Location: Dallas, Texas
Experience: 10+ years (with 3+ years in leadership roles)

About the Role

We are looking for an experienced Engineering Manager to lead a high-performing, full-stack engineering team working on scalable, enterprise-grade applications. This role requires a strong technical background across backend, frontend, data, and QA automation, along with proven leadership capabilities.

You will be responsible for driving technical excellence, mentoring engineers, and ensuring high-quality product delivery in a fast-paced environment.

Key Responsibilities

  • Lead and manage a cross-functional engineering team (backend, frontend, QA)
  • Drive design, development, and delivery of scalable applications using Java and React
  • Oversee end-to-end software development lifecycle, including architecture, coding, testing, and deployment
  • Champion automation-first QA practices using tools like Playwright (TypeScript)
  • Collaborate with product managers, designers, and stakeholders to define technical roadmaps
  • Ensure best practices in code quality, performance, security, and scalability
  • Mentor engineers, conduct code reviews, and support career growth
  • Improve team productivity through agile processes and engineering excellence
  • Work with data using SQL and Python for analytics, integrations, or backend processing
  • Leverage modern AI-assisted development tools (e.g., Cursor, Windsurf, Claude Code, OpenAI Codex, or similar) to enhance engineering productivity and efficiency

Required Skills & Qualifications

  • 10+ years of software engineering experience
  • 3+ years of experience in an Engineering Manager / Tech Lead role
  • Mandatory experience in the Retail domain
  • Demonstrated ability to operate at a strategic level, including defining team structures, ownership models, and long-term technical direction
  • Proven experience driving engineering outcomes beyond execution, including stakeholder alignment and measurable business impact
  • Strong hands-on experience with:Java (Spring Boot or similar frameworks)
    React / JavaScript (modern frontend frameworks)
    SQL and/or Python
  • Experience leading full-stack development teams
  • Solid understanding of system design, microservices, and APIs
  • Strong ability to think at system, product, and organizational level, including making architecture and business trade-offs
  • Experience with QA automation frameworks, especially:Playwright with TypeScript
  • Familiarity with CI/CD pipelines and modern DevOps practices
  • Hands-on experience leveraging AI tools (e.g., Cursor, Windsurf, Claude Code, OpenAI Codex, or similar) to improve developer productivity, code quality, or delivery workflows
  • Strong people management skills, including experience with performance management, team scaling, and handling team challenges
  • Ability to operate effectively in ambiguous environments and manage delivery risks
  • Excellent communication and stakeholder management abilities
Manufacturing
10K+ employees
Core JavaSpring BootReact+ 5
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