ZipRecruiter

Log In

1

Llm Engineer Jobs (NOW HIRING)

Uncountable

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 ...

Upstart

Principal Engineer, LLM

OR · On-site +1

As a Principal Engineer - GenAI/LLM, you will provide technical leadership across multiple cross-functional teams, shaping the vision, architecture, and adoption strategy for our new GenAI platform ...

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 ...

Upstart

Principal Engineer, LLM

As a Principal Engineer - GenAI/LLM, you will provide technical leadership across multiple cross-functional teams, shaping the vision, architecture, and adoption strategy for our new GenAI platform ...

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 ...

next page

Showing results 1-20

All JobsLlm Engineer Jobs

Llm Engineer information

See salary details

$25

$53

$76

How much do llm engineer jobs pay per hour?

As of Jun 9, 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 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:
What are the most commonly searched types of Llm Engineer jobs? The most popular types of Llm Engineer jobs are:
What states have the most Llm Engineer jobs? States with the most job openings for Llm Engineer jobs include:
What job categories do people searching Llm Engineer jobs look for? The top searched job categories for Llm Engineer jobs are:
Llm Engineer jobs near you
Infographic showing various Llm Engineer job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 92% Full Time, 1% Part Time, 3% Contract, and 3% Nights. Highlights an 76% Physical, 5% Hybrid, and 19% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.
Software Engineer (Language Modeling), BS+12 yrs

Software Engineer (Language Modeling), BS+12 yrs

Link, LLC

Columbia, MD • On-site

Other

Posted 19 days ago

Job description

Description: We are seeking a highly skilled and motivated Sr. LLM Engineer to join our team in driving the advancement of our Language Model infrastructure. As a key member of our AI/ML team, you will be responsible for the training, hosting, and optimization of Large Language Model (LLM) instances within our compute environment. The ideal candidate should possess a strong passion for pushing the boundaries of language technology, a deep understanding of LLM architectures, and the grit to tackle complex challenges head-on. This role requires a self-reliant individual with a drive to identify and fix inefficiencies, constantly striving to improve the codebase and optimize model performance. If you thrive in a fast-paced environment and have an unwavering commitment to delivering cutting-edge language solutions, this position is for you.
Responsibilities:
       Design, develop, and maintain the infrastructure for training, hosting, and serving LLM instances.
       Optimize model training pipelines to achieve high performance and resource efficiency.
       Implement and integrate state-of-the-art LLM architectures and techniques.
       Collaborate with cross-functional teams to understand business requirements and deliver impactful language solutions.
       Monitor and analyze model performance metrics, identifying areas for improvement and implementing optimizations.
       Develop and maintain documentation, best practices, and coding standards for LLM development and deployment.
       Stay up-to-date with the latest advancements in LLM research and industry trends, and incorporate them into our projects.
       Mentor and guide junior engineers, fostering a culture of continuous learning and knowledge sharing.
Skills Requirements:
       12+ years of experience in software engineering, with a focus on machine learning or natural language processing.
       Degree in Computer Science, Artificial Intelligence, or a related field.
       Strong expertise in deep learning frameworks such as TensorFlow, PyTorch, or MXNet.
       Proficiency in programming languages such as Python, C++, or Java.
       Solid understanding of LLM architectures, training techniques, and evaluation methodologies.
       Familiarity with cloud platforms (e.g., AWS, GCP) and their machine learning services.
       Knowledge of software engineering best practices, including version control, testing, and continuous integration/deployment.
       Excellent problem-solving and debugging skills.
       Strong communication and collaboration abilities to work effectively with cross-functional teams.
Nice to Haves:
       Advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, or a related field.
       Proven track record of implementing and deploying large-scale LLM systems in production environments.
       Experience with distributed computing frameworks like Apache Spark or Hadoop.
       Experience with natural language understanding, generation, and dialogue systems.
       Familiarity with techniques such as transfer learning, few-shot learning, and reinforcement learning.
       Contributions to open-source projects or research publications in the field of LLMs.
       Experience with serving models using APIs and building scalable inference pipelines.
       Knowledge of DevOps practices and tools like Docker, Kubernetes, and Jenkins.
YOE Requirement: 12 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply