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Gpt Engineer Jobs (NOW HIRING)

Virtual Networx

Gen AI/ ML Engineer

Dallas, TX · On-site

GPT, LLaMA, Claude, BERT, PEFT/LoRA, LangChain, RAG Pipelines, Vector Databases, Semantic Search, Azure, Docker * Generative AI & LLMs: GPT, LLaMA, Claude, BERT, PEFT/LoRA, Prompt Engineering

StarsHR Inc

DevOps Engineer

Harrisburg, PA · On-site

$52 - $71.25/hr

Support GPT-enabled solution capabilities, including prompt engineering, intelligent chatbots, document summarization, semantic search, and related business use cases. Apply awareness of token usage ...

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 ...

Hire Talent

SQA Automation Engineer

Mclean, VA · On-site

SQA Automation Engineer Duration: Long Term JD: • Develop, execute, and maintain automation scripts using Java and Selenium. • Leverage AI tools, including our custom GPT solution, to generate ...

NTT DATA North America

AI Engineer

Warren, NJ · On-site

... Engineer to join their team in Warren, New Jersey. This role focuses on designing, building, and ... GPT-4o, Azure OpenAI, Claude, Mistral, Llama) against insurance-specific tasks to guide platform ...

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 ...

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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 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 engineers make $500,000?

Senior engineers in fields such as software, data engineering, and specialized technical roles can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries like technology or finance. These roles often require expertise in programming, system architecture, or machine learning, and may include bonuses or stock options that contribute to total compensation.

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 jobs pay $2000 a day?

High-paying jobs that can reach $2000 a day often include specialized roles such as senior software engineers, data scientists, management consultants, and certain freelance or contract positions in technology, finance, or healthcare. These roles typically require advanced skills, extensive experience, and sometimes certifications, and they may involve project-based or consulting work with flexible schedules.

Which 3 jobs will survive AI?

Gpt Engineers and other AI specialists are likely to continue in demand due to their expertise in developing, training, and maintaining AI models. Jobs that require complex human judgment, creativity, and emotional intelligence, such as healthcare professionals, educators, and skilled trades, are also expected to persist despite AI advancements.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI executives, senior machine learning engineers, or specialized research scientists earning top-tier salaries. These positions often require advanced skills in AI development, deep learning, and extensive experience, and may include bonuses or stock options that contribute to the total compensation package.
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What job categories do people searching Gpt Engineer jobs look for? The top searched job categories for Gpt Engineer jobs are:
Gpt Engineer jobs near you
Infographic showing various Gpt Engineer job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 89% Physical, 4% Hybrid, and 7% 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 22 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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