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Llm Developer Jobs (NOW HIRING)

Python LLM Developer

Irving, TX ยท On-site

$48.25 - $66.50/hr

Role Python LLM Developer Location: Irving, TX ( day1 onsite, hybrid ) Python LLM Python LLM: Should have very strong in-depth knowledge in Python Programming Programming Fundamentals: Proficiency in ...

Senior AI / LLM Engineer

Mclean, VA ยท On-site

$107K - $147K/yr

Senior AI / LLM Engineer Location: McLean, VA Eligibility: Must be a U.S. Person (required for access to an ITAR / export-controlled environment) About the Role: We are hiring a Senior AI / LLM ...

LLM Engineer[Onsite]

Houston, TX ยท Remote

$170K/yr

LLM Engineer 6-month contract Houston,TX (Onsite) USC/GC Required Skills & Experience -3+ years of large language modeling experience -5+ years of python experience -Strong problem solving skills and ...

Sr Applied LLM Engineer

San Francisco, CA ยท On-site

$180K - $200K/yr

Sr. Applied LLM Engineer Qualifications * Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent practical experience) * 3+ years of software development ...

The AI/LLM Engineer will lead the design and implementation of advanced systems centered on large language models, driving innovation and shaping transformative projects across the organization.

10x Java Developer/AI Engineer

Berkeley Heights, NJ ยท On-site

$54 - $74/hr

LLM & AI Application Building:Design, implement, and deploy application layers that integrate LLMs ... Developer Velocity : Demonstrated mastery using GenAI developer assistants (e.g., GitHub Copilot ...

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How much do llm developer jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for llm developer in the United States is $50.17, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $60.82 per hour, depending on experience, location, and employer.

What is the salary of LLM developer?

The salary of an LLM developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and the complexity of projects. Skilled developers with expertise in machine learning, natural language processing, and relevant tools like Python and TensorFlow tend to earn higher salaries.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior AI researchers or machine learning executives, often involving advanced skills in deep learning, large language models, and extensive experience. These positions may include leadership responsibilities, require specialized certifications, and offer compensation packages that include salary, bonuses, and stock options. Such roles are usually found in top tech companies or AI-focused organizations and demand a strong track record of innovation and technical expertise.

What does an LLM Developer do?

An LLM Developer designs, fine-tunes, and implements large language models (LLMs) for various applications, such as chatbots, content generation, and AI-driven tools. They work with machine learning frameworks, optimize model performance, and ensure efficient deployment. This role requires expertise in natural language processing (NLP), deep learning, and programming languages like Python.

What are the key skills and qualifications needed to thrive in the Llm Developer position, and why are they important?

To excel as an LLM Developer, you need strong expertise in natural language processing (NLP), deep learning frameworks, and programming languages such as Python, typically supported by a degree in computer science or a related field. Familiarity with machine learning libraries (like TensorFlow or PyTorch), cloud computing platforms, and experience with prompt engineering or fine-tuning large language models is crucial. Excellent problem-solving abilities, collaboration, and effective communication skills help you design solutions and work efficiently within multidisciplinary teams. These qualifications are essential for successfully building, deploying, and optimizing large language models that drive impactful AI applications.

What engineers make $500,000?

Senior machine learning engineers, including those developing large language models (LLMs), can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning, and work at top tech companies. High compensation often includes base salary, bonuses, and stock options, particularly in competitive markets or leadership roles.

What are the typical daily tasks and responsibilities of an LLM Developer?

As an LLM Developer, your daily responsibilities often include designing, fine-tuning, and evaluating large language models to meet specific application needs. You may work on tasks such as data preprocessing, model training, performance benchmarking, and error analysis, frequently collaborating with data scientists, research engineers, and product managers. Keeping up to date with the latest advancements in NLP and integrating new techniques into production models is also a key part of the role. These tasks are usually performed in a team-oriented environment where clear communication and iterative experimentation are highly valued.

What are LLM developers?

LLM developers are software engineers who design, build, and optimize large language models used in artificial intelligence applications. They typically work with machine learning frameworks, programming languages like Python, and tools such as TensorFlow or PyTorch to develop models for tasks like natural language processing and understanding.
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Infographic showing various Llm Developer job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 3% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $104,344 per year, or $50.2 per hour.
Python LLM Developer

Python LLM Developer

Hexaware Technologies, Inc

Irving, TX โ€ข On-site

$48.25 - $66.50/hr

Other

Posted 17 days ago


Job description

Role Python LLM Developer

Location: Irving, TX ( day1 onsite, hybrid )

Python LLM

Python LLM: Should have very strong in-depth knowledge in Python Programming

Programming Fundamentals: Proficiency in programming languages commonly used in AI, such as Python, FastAPI.

AI/ML Libraries: Familiarity with basic libraries and tools like scikit-learn, Pandas, and NumPy.

API Usage: Know-how to integrate pre-trained AI models via APIs, e.g., cloud-based AI services.

Data Management: Skills in collecting, preprocessing, and handling datasets.

AI Concepts: Familiarity with concepts like machine learning, supervised and unsupervised learning, and foundational algorithms.

Deep Learning Frameworks: Familiarity with frameworks like TensorFlow, PyTorch, or Keras.

Custom Model Training: Ability to fine-tune and train models on specific datasets, understand overfitting, and apply regularization techniques.

Integration Skills: Proficiency in integrating AI functionalities into applications, web services, or mobile apps.

Optimization: Knowledge of optimizing model performance and reducing latency for real-time applications.

Version Control and Collaboration Tools: Proficiency with tools like Git, which are essential for collaborative development.