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Llm Developer Jobs (NOW HIRING)

Hiring Alert | AI/LLM Engineer Location: Edison, NY (Hybrid - 3 Days Onsite) Employment Type: Full-Time Experience Required: 8-10 Years Visa Type: USC / GC Only Interview Mode: In-person (Final Round ...

C. is seeking a highly skilled AI/LLM Engineer to design and build intelligent agent-based systems. The role requires strong Python engineering expertise and hands-on experience with modern agent ...

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LLM Engineer

OR · Remote

GitHub or Azure DevOps * API Design * Distributed Systems * Cloud-Native Engineering * Test ... LLM and SLM hosting patterns for cloud and on-prem environments. * Secure inference APIs for ...

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Senior AI/LLM Engineer - Remote

Raleigh, NC · On-site

$53.75 - $69.25/hr

REMOTE - Senior AI/LLM Engineer (Generative AI Solutions) Job Title: Senior AI/LLM Engineer ... Collaborate with DevOps teams to deploy AI solutions using CI/CD pipelines. * Stakeholder ...

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LLM Engineer

OR · Remote

GitHub or Azure DevOps * API Design * Distributed Systems * Cloud-Native Engineering * Test ... LLM and SLM hosting patterns for cloud and on-prem environments. * Secure inference APIs for ...

New

LLM Engineer[Onsite]

Houston, TX · 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 ...

They are seeking a hands-on ML/LLM Engineer to build and optimize AI-native systems that blend structured and unstructured data for decision-making in high-stakes domains. Responsibilities : • Own ...

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Llm Developer information

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How much do llm developer jobs pay per hour?

As of Aug 19, 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 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 as an LLM Developer?

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 is the role of a large language model developer?

A large language model developer designs, trains, and fine-tunes AI models that understand and generate human language. They work with machine learning frameworks, manage large datasets, and optimize models for accuracy and efficiency, often requiring knowledge of programming, deep learning, and natural language processing techniques.
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What states have the most Llm Developer jobs?

States with the most job openings for Llm Developer jobs include:

Infographic showing various Llm Developer job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 2% Part Time, and 16% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $104,344 per year, or $50.2 per hour.

LLM Developer Advocate

CloudAct Inc.

Sunnyvale, CA • On-site

$120 - $150/hr

Other

Posted yesterday

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Job description

You will be the external face of the product — demos, tutorials, conference talks, GitHub discussions, and community support. The bar is deep technical credibility: you can read the codebase, debug a customer integration, and ship a working example in a few hours.

Responsibilities
  • Create reference integrations across 15+ languages and frameworks
  • Speak at AI and developer conferences
  • Own community channels — Discord, GitHub Discussions, X
  • Partner with engineering on SDK ergonomics and API design
Requirements
  • 4+ years as an engineer with strong public writing / speaking record
  • Fluent in multiple languages (Python, TypeScript, Go at minimum)
  • Experience integrating LLM APIs in production
Nice to have
  • Existing developer audience or technical following
  • Conference speaker history
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