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Large Language Model Llm Jobs (NOW HIRING)

Straive

LLM Engineer

San Francisco, CA · On-site +1

The ideal candidate will have a deep understanding of large language models (LLMs) and their application in real-world scenarios. As an LLM Engineer at Straive, you will play a crucial role in ...

Omni Inclusive

AI/ML Expert

Plano, TX

NLP (Natural Language Processing) Generative AI & Large Language Models (LLM) Python Skills * Educational Qualifications: Graduate or Doctorate degree in information technology, Neuroscience ...

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How much do large language model llm jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for large language model llm in the United States is $24.34, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $29.09 per hour, depending on experience, location, and employer.

What is a Large Language Model (LLM) job?

A Large Language Model (LLM) job typically involves working with advanced AI models designed to understand and generate human-like text. Roles in this field may include research, data engineering, model fine-tuning, prompt engineering, or application development. Professionals in LLM jobs often work with machine learning algorithms, natural language processing (NLP), and large-scale datasets to enhance AI capabilities. These roles are common in AI-driven industries, including tech companies, research institutions, and startups. Strong programming skills, knowledge of deep learning frameworks, and expertise in NLP are often required.

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

Excelling in the role of a Large Language Model (LLM) Engineer requires strong expertise in natural language processing, machine learning, and computer programming, often supported by an advanced degree in computer science or a related field. Familiarity with industry-standard frameworks like PyTorch or TensorFlow, as well as experience with cloud computing platforms and large-scale data management, is highly valued. Communication, creativity, and problem-solving are essential soft skills to effectively collaborate with cross-functional teams and innovate solutions. These skills ensure the development, deployment, and refinement of powerful language models that can address diverse business needs and technical challenges.

What are some common challenges faced by Large Language Model (LLM) Engineers in their day-to-day work?

LLM Engineers often encounter challenges related to scaling models efficiently, optimizing performance on large and complex datasets, and ensuring the responsible use of AI technologies. Balancing the trade-offs between model accuracy, speed, and ethical considerations can be demanding, especially as real-world applications often require rapid iterations and rigorous testing. Additionally, staying updated with the latest research advancements and integrating new methods into production systems is an ongoing responsibility. Many engineers tackle these challenges by working closely with data scientists, researchers, and product teams in collaborative, agile environments.
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Large Language Model Llm jobs near you
Infographic showing various Large Language Model Llm job openings in the United States as of May 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 72% In-person, 14% Hybrid, and 14% Remote job distribution, with an average salary of $50,625 per year, or $24.3 per hour.

LLM Engineer

Straive

San Francisco, CA • On-site, Remote

Full-time

Posted 15 days ago

Job description

Straive is a leading company in the Information Technology and Services industry, committed to delivering innovative solutions that leverage cutting-edge technologies to drive business transformation. We are currently seeking a highly skilled LLM Engineer to join our dynamic team. The ideal candidate will have a deep understanding of large language models (LLMs) and their application in real-world scenarios. As an LLM Engineer at Straive, you will play a crucial role in designing, developing, and optimizing advanced language-based AI systems that enhance our product offerings and customer experiences. This position offers an exciting opportunity to work with a talented group of professionals in a fast-paced, collaborative environment where your expertise will directly impact the evolution of AI-driven solutions. If you are passionate about natural language processing, machine learning, and artificial intelligence, and looking to contribute to transformative projects, Straive is the perfect place to grow your career and make a difference in the industry.
Responsibilities
  • Design, develop, and deploy large language model-based applications and services.
  • Collaborate with cross-functional teams to integrate LLM technologies into existing platforms.
  • Research and implement state-of-the-art natural language processing techniques.
  • Optimize model performance for accuracy, speed, and scalability.
  • Conduct thorough testing and validation of language models to ensure quality and reliability.
  • Stay updated with the latest advancements in LLMs and AI to incorporate best practices.
  • Provide technical guidance and support to team members on LLM-related projects.

Requirements
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
  • Proven experience working with large language models such as GPT, BERT, or similar frameworks.
  • Strong programming skills in Python and familiarity with ML libraries like TensorFlow or PyTorch.
  • Deep understanding of natural language processing concepts and techniques.
  • Experience with model deployment in cloud environments such as AWS, Azure, or GCP.
  • Ability to analyze and improve model performance using appropriate evaluation metrics.
  • Excellent problem-solving skills and the ability to work effectively in a team-oriented environment.

Benefits
Social Security (IMSS)
National Housing Fund (Infonavit)
Consumption Coverage (FONACOT)
Deel Management Fee
Profit sharing bonus
Severance accrual

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