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Gpt Engineer Jobs (NOW HIRING)

Tata Consultancy Services

Engineer

Owings Mills, MD · On-site

... GPT, VAE, and GANs. • Proficient in Python and have experience with machine learning libraries ... engineering principles. • Familiar with cloud-based platforms and services, such as AWS, GCP, or ...

Lorvin Technologies

GEN AI Engineer

Charlotte, NC · On-site

The ideal candidate should have experience working with Devin AI , Claude AI , OpenAI GPT models ... Strong programming skills in Python . * Experience with REST APIs, AI model integration, and prompt ...

New

Xforia, Inc.

Staff ML Engineer

San Jose, CA · On-site

... GPT, BERT, and their variants, and a track record of applying these models to real-world ... D. degree in Computer Science, Electrical Engineering, or a related field • Proven experience in ...

Cypress HCM

LLM Research Engineer

Mountain View, CA

$90 - $121.86/hr

Design, train, and fine-tune large language models (e.g., GPT, LLaMA, PaLM) for various ... Strong programming skills. * Proficiency with deep learning frameworks such as TensorFlow, PyTorch ...

BIGDATAAPPTECH LLC

Senior AL/ML Engineer

Texas City, TX · On-site

$89K - $122K/yr

Customize and optimize prebuilt models such as GPT, BERT, and DALL-E for business use cases ... Qualifications Bachelor s or master s degree Computer Science, Engineering, or related field.

New

AccrueTalent

Fullstack Engineer

San Francisco, CA

$120K - $160K/yr

... Full Stack Engineer . If you're looking to make a real impact by working with cutting-edge ... Work hands-on with LLM APIs like OpenAI's GPT-4 and Anthropic Claude , driving innovation in AI ...

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Gpt Engineer information

What are the key skills and qualifications needed to thrive as a GPT Engineer, and why are they important?

To thrive as a GPT Engineer, you need a solid background in machine learning, natural language processing (NLP), and proficiency in programming languages such as Python, typically supported by a degree in computer science or a related field. Familiarity with deep learning frameworks like TensorFlow or PyTorch, as well as experience with large language models (LLMs) and cloud platforms, is highly valuable. Strong problem-solving, communication, and collaboration skills help you navigate complex projects and effectively work within interdisciplinary teams. These skills and qualifications are crucial for developing, fine-tuning, and deploying advanced AI models that meet real-world needs and ensure ethical, high-performance outcomes.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as an AI researcher, machine learning engineer, or AI director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership, innovation, and significant responsibility, and they may be found in large tech companies or specialized AI firms with competitive compensation packages. Such salaries are often associated with seniority, expertise, and the ability to lead complex projects.

What is a GPT Engineer?

A GPT Engineer is a specialist who designs, develops, and optimizes applications using Generative Pre-trained Transformers (GPT) like those created by OpenAI. Their work involves integrating GPT models into software products, fine-tuning models for specific business needs, and ensuring the responsible and efficient use of AI technologies. GPT Engineers often collaborate with data scientists, product managers, and other developers to build innovative AI-driven solutions across various industries.

What is the difference between Gpt Engineer vs AI Developer?

AspectGpt EngineerAI Developer
Required CredentialsKnowledge of NLP, machine learning, programming skillsComputer science degree, programming, machine learning expertise
Work EnvironmentFocus on language models, API integration, fine-tuning GPT modelsBroader AI projects, including computer vision, robotics, and data analysis
Industry UsagePrimarily in tech, startups, and companies utilizing NLP solutionsWide range of industries including tech, healthcare, finance, and research

Gpt Engineers specialize in developing and fine-tuning language models like GPT, focusing on NLP applications. AI Developers have a broader scope, working on various AI technologies across multiple industries. While Gpt Engineers focus on language-specific AI, AI Developers handle diverse AI projects, making Gpt Engineer a specialized role within the larger AI development field.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like artificial intelligence, machine learning, or at major tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills, and often leadership roles or specialized expertise in cutting-edge technologies.

How do GPT Engineers typically collaborate with data scientists and product teams during the model development process?

GPT Engineers frequently work alongside data scientists to refine training datasets, evaluate model outputs, and implement prompt engineering strategies. They also coordinate with product teams to understand user requirements, integrate GPT models into applications, and ensure a seamless user experience. Regular cross-functional meetings and collaborative problem-solving are standard, making strong communication skills essential for success in this role.

What does gpt engineer do?

A GPT engineer designs, develops, and fine-tunes AI language models based on the GPT architecture. They work with large datasets, implement model training, optimize performance, and may use tools like Python and machine learning frameworks to create applications such as chatbots or content generators.

How much do GPT prompt engineers make?

GPT prompt engineers typically earn between $70,000 and $150,000 annually, depending on experience, location, and the complexity of tasks. Senior roles or those with specialized skills in AI and machine learning can command higher salaries, especially in tech hubs or companies focusing heavily on AI development.
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Gpt Engineer jobs near you
Infographic showing various Gpt Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.
Python NLP Developer (LLM & GPT APIs) - Q125

Python NLP Developer (LLM & GPT APIs) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$49 - $67.50/hr

Full-time

Medical, Retirement, PTO

Posted 12 days ago

Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
Python NLP Developer (LLM & GPT APIs)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a specialized Python NLP Developer to build natural language processing solutions using LLMs and GPT APIs. This role focuses on leveraging Python with Hugging Face or OpenAI APIs for advanced NLP applications.
Key Responsibilities
  • Develop NLP solutions using Python with LLMs and GPT APIs for text processing and generation.
  • Integrate transformer models from Hugging Face or OpenAI API into production applications.
  • Design and optimize NLP pipelines for tasks like sentiment analysis, text summarization, or chatbots.
  • Collaborate with data teams to preprocess and refine datasets for NLP model training.
  • Ensure performance and scalability of NLP applications in real-world use cases.
  • Monitor and improve NLP model accuracy and responsiveness over time.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience as a Python developer with a focus on NLP and transformer models.
  • Proficiency in using LLMs and GPT APIs (e.g., Hugging Face, OpenAI) for NLP tasks.
  • Experience building and deploying NLP pipelines with Python in production environments.
  • Strong understanding of natural language processing techniques and model integration.

Preferred Qualifications
  • Familiarity with advanced NLP frameworks like SpaCy or NLTK for preprocessing tasks.
  • Exposure to cloud platforms like AWS or GCP for hosting NLP applications.
  • Knowledge of fine-tuning transformer models for domain-specific NLP use cases.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Python, NLP, Natural Language Processing, GPT, LLM, Transformer Models, Hugging Face, OpenAI API

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