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Llm Engineer Jobs (NOW HIRING)

The Opportunity We're looking for a hands-on ML/LLM Engineer who's excited to ship real-world applications - not just benchmarks. You'll help us build and optimize AI-native systems that blend ...

LLM Engineer (GenAI, NYC)

New York, NY · On-site

$150K - $230K/yr

Experience pushing the cutting-edge in LLM abilities on novel tasks with subjective outputs * Excellent software engineer with experience building highly extensible and modular codebases, as well as ...

Role: Senior Full Stack Engineer - AI & Next.js Duration: Long Term Location: United States- Remote Role Summary We are looking for a Senior Full Stack Engineer with strong experience in AI/LLM ...

New

LLM Engineer

Northbrook, IL · On-site

$85K - $115K/yr

The LLM Engineer serves as the organization's AI technical lead responsible for designing, implementing, and optimizing Large Language Model (LLM) solutions that automate business processes, improve ...

The Brixton Group is seeking an AI / Machine Learning Engineer to design, develop, and deploy AI and machine learning solutions. The role involves hands-on ML development, building scalable models ...

AI/LLM Integration Engineer

San Diego, CA

$110K - $148K/yr

As our AI/LLM engineer, you won't just write prompts -- you'll define how the system thinks. You'll architect the orchestration layer that enables streaming chat, multi-agent coordination, and ...

Description and Requirements LLM Engineer Location: Remote Position Type: Full-Time, Project Based Consultant Start Date: 7/6/2026 Duration : 6 months About Us Slalom is a purpose-led, global ...

Client is seeking a highly skilled and motivated AI/ML Engineer to join client's team and drive the development and optimization of AI solutions. * This role is ideal for someone who thrives at the ...

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LLM Engineer information

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$25

$53

$76

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.

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:
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.
Journeyman LLM + Ontology Software Engineer

Journeyman LLM + Ontology Software Engineer

Isys Technologies

Omaha, NE

Full-time

Posted 4 days ago

New


Job description

Minimum Clearance RequiredTS/SCIResponsibilities

I2X Technologies is a reputable technology services company to the Federal Government.  Whether the focus is on space exploration, national security, cyber security, or cutting-edge engineering applications, I2X is ready to offer you the chance to make a real-world impact in your field and for your country.  We provide long-term growth and development. Headquartered in Colorado, I2X is engaged in programs across the country and in more than 20 states.  Our programs support multiple Federal agencies, the Department of Defense and often focused on the space initiatives of our government customers.

Job Description: Journeyman LLM + Ontology Software Engineer

I2X Technologies is seeking a Journeyman Journeyman LLM Engineer:

Job Summary:  We are looking for a Journeyman LLM Engineer to develop and enhance intelligent applications that combine Large Language Models (LLMs) with formal ontologies and knowledge graphs.

 Responsibilities:
  • Design and implement solutions that integrate LLMs with ontologies for improved accuracy and reasoning
  • Develop Retrieval-Augmented Generation (RAG) systems using ontology-based knowledge
  • Build and maintain knowledge graphs and ontologies to support LLM applications
  • Fine-tune, prompt engineer, and evaluate LLMs for specific business use cases
  • Create APIs and services that allow applications to interact with LLMs and ontology data
  • Ensure the reliability, scalability, and ethical use of LLM-powered features
  • Collaborate with data scientists, engineers, and domain experts
Qualifications

Requirements:

  • 3-6 years of experience in software engineering with a focus on AI/ML or LLM development
  • Solid experience and proficiency with Java for building scalable back-end services and integrating with LLMs
  • Strong hands-on experience working with Large Language Models
  • Practical experience with ontologies, knowledge graphs (RDF, OWL, or similar), and semantic technologies
  • Proficiency in Python and relevant frameworks (LangChain, LlamaIndex, etc.)
  • Experience with vector databases and retrieval systems
  • Solid understanding of software engineering best practices and version control (Git)

Preferred or Desirable to have:

  • Experience in ontology modeling or semantic web technologies
  • Knowledge of graph databases (Neo4j, GraphDB, etc.)
  • Familiarity with evaluation frameworks for LLMs
  • Experience with cloud platforms (AWS, Azure, or GCP)

Essential Requirements:

US Citizenship is required.

Clearance: TS/SCI

In compliance with Colorado's Equal Pay for Equal Work Act, the annual base salary range for this position is listed . Please note that the salary information is a general guideline only. I2X Technologies considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and business considerations when extending an offer.

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job with or without reasonable accommodation.

While performing the duties of this job, the employee will regularly sit, walk, stand and climb stairs and steps. May require walking long distance from parking to work station. Occasionally, movement that requires twisting at the neck and/or trunk more than the average person, squatting/ stooping/kneeling, reaching above the head, and forward motion will be required. The employee will continuously be required to repeat the same hand, arm, or finger motion many times. Manual and finger dexterity are essential to this position. Specific vision abilities required by this job include close, distance, depth perception and telling differences among colors. The employee must be able to communicate through speech with clients and public. Hearing requirements include conversation in both quiet and noisy environments. Lifting may require floor to waist, waist to shoulder, or shoulder to overhead movement of up to 20 pounds. This position demands tolerance for various levels of mental stress.

I2X Technologies is an Engineering and Information Technology Company focused on providing Services to the Federal and State Government. I2X offers a competitive compensation program and comprehensive benefits package to our employees.

Employment Type: FULL_TIME