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Llm Engineer Jobs (NOW HIRING)

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LLM Applications Engineer

New York, NY · On-site

$130K - $175K/yr

As an LLM Applications Engineer, you will be the architect of our LLM infrastructure. You won't just be building interfaces; you will be designing the retrieval systems, agentic workflows, and data ...

AMSYS Talent

LLM Infrastructure Engineer

Houston, TX · On-site

$97K - $127K/yr

We are looking for a Senior Python / AI API Engineer to build and deploy production-grade services powering Large Language Model (LLM) applications. This role focuses on developing high-performance ...

EnCharge AI

LLM Inference Deployment Engineer

$180K - $240K/yr

About the Role EnCharge AI is seeking an LLM Inference Deployment Engineer to optimize, deploy, and scale large language models (LLMs) for high-performance inference on its energy efficient AI ...

Pyramid Consulting, Inc

AI/LLM Engineers

Denver, CO · On-site

Pyramid Consulting, Inc. is seeking talented AI/LLM Engineers for a long-term contract opportunity. The role involves designing test cases, managing development work, and translating team needs into ...

Tolan

Backend Product Engineer

San Francisco, CA · On-site

$200K - $300K/yr

Contribute to LLM engineering work that brings Tolan's AI capabilities to life. * Work cross-functionally with our frontend, design, and applied AI teams. Who We're Looking For * Relevant experience.

Whatnot

LLM Platform Engineer

San Francisco, CA · On-site

$245K - $345K/yr

Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable ... Create robust and scalable LLM evaluation frameworks to measure model performance, guide iteration ...

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How much do llm engineer jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for llm engineer in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.

What does an LLM Engineer do?

An LLM Engineer designs, develops, and optimizes applications that leverage large language models (LLMs). They fine-tune models, integrate them into products, and improve performance through prompt engineering and model customization. This role requires expertise in machine learning, natural language processing (NLP), and software development. LLM Engineers work closely with data scientists and developers to create AI-driven solutions for various applications such as chatbots, content generation, and code assistance.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, especially those specializing in machine learning, AI, or cloud infrastructure, can earn $500,000 or more annually. These roles often require advanced skills, extensive experience, and sometimes stock options or bonuses as part of compensation packages.

What do LLM engineers do?

LLM engineers develop, optimize, and deploy large language models for various applications such as chatbots, content generation, and natural language understanding. They work with machine learning frameworks, handle data preprocessing, and fine-tune models to improve performance and accuracy.

How much do LLM engineers make?

LLM engineers typically earn between $100,000 and $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning and natural language processing can command higher salaries, often exceeding $200,000.

Are LLM engineers in demand?

LLM engineers are in high demand due to the rapid growth of large language models and AI applications across industries. They typically require expertise in machine learning, natural language processing, and programming skills, with many organizations actively recruiting for these roles to develop and improve AI systems.

What are the main responsibilities of an LLM Engineer on a typical project?

An LLM Engineer is typically responsible for designing, fine-tuning, and deploying large language models to solve specific business or research problems. You will collaborate closely with data scientists, product managers, and software engineers to understand requirements, select the appropriate model architectures, and integrate LLMs into production systems. Routine tasks may include data preprocessing, hyperparameter tuning, model evaluation, and monitoring model performance post-deployment. The role also often involves staying current with rapidly evolving NLP advancements to recommend and implement state-of-the-art solutions.

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

To thrive as an LLM Engineer, you need strong expertise in machine learning, natural language processing, and proficiency with Python, along with a solid understanding of transformer-based models and deep learning frameworks like PyTorch or TensorFlow. Familiarity with cloud platforms, version control systems (e.g., Git), and tools such as Hugging Face Transformers is typically required, and certifications in AI or data science can be advantageous. Excellent problem-solving, collaboration, and communication skills help you work effectively with interdisciplinary teams and present complex findings clearly. These skills enable you to develop, fine-tune, and deploy large language models efficiently in real-world applications.

More about LLM Engineer jobs
What cities are hiring for Llm Engineer jobs? Cities with the most Llm Engineer job openings:
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LLM Engineer jobs near you
Infographic showing various Llm Engineer job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.
AI / LLM Developer Needed - In-Person Project (South Florida)

AI / LLM Developer Needed - In-Person Project (South Florida)

Caring Transitions

Boca Raton, FL • On-site

Contractor

Posted 15 days ago

Job description

Hiring: AI / LLM Developer (Florida - In-Person Collaboration)
I'm seeking an experienced AI / LLM developer based in Florida for a paid, contract-based project that involves in-person collaboration.
This role is suited to someone with strong hands-on experience designing and running local or hybrid LLM systems on high-performance hardware.Project Overview
The project involves designing and implementing a locally hosted AI assistant running on a high-powered laptop for private, long-term use.
Key components include:
  • Deploying and configuring a local or hybrid LLM stack
  • Optimizing performance across CPU, GPU, RAM, and VRAM
  • Designing a persistent memory and knowledge storage system
  • Developing methods to retain and reuse structured knowledge and user context in a compliant and technically sound way
  • Building the system with extensibility and future customization in mind

This is a hands-on engineering role, not prompt engineering or theoretical research.Required Experience
  • Demonstrated experience working with LLMs (local or hybrid)
  • Strong Python proficiency
  • Familiarity with tools such as Ollama, LM Studio, llama.cpp, LangChain, vector databases, embeddings, or agent frameworks
  • Experience with local inference, persistence, and memory systems
  • Comfortable configuring and optimizing high-performance local hardware
  • Ability to clearly explain technical trade-offs and limitations
Logistics
  • Location: Florida (in-person collaboration required)
  • Engagement: Paid, contract / project-based
  • Compensation: Competitive, based on experience
  • Confidentiality agreement required

If this aligns with your background, please message me with:
  • A brief summary of relevant experience
  • Examples of similar projects
  • A high-level outline of how you would approach this build

Apply