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Full Time Llm Engineer Jobs (NOW HIRING)

USA Clinics Group

LLM Engineer

Northbrook, IL

$85K - $115K/yr

The LLM Engineer serves as the organization's AI technical lead responsible for designing ... Schedule: Full-time, Monday through Friday on-site. * Compensation: $85,000 - $115,000 Key ...

USA Clinics Group

LLM Engineer

Northbrook, IL · On-site

$85K - $115K/yr

The LLM Engineer serves as the organization's AI technical lead responsible for designing ... Schedule: Full-time, Monday through Friday on-site. * Compensation: $85,000 - $115,000 Key ...

Slalom Consulting

General Information

Boston, MA · On-site

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 ...

Bomnin Chevrolet Dadeland

Sr. AI/ML Engineer (LLM)

Miami, FL · On-site

$99K - $137K/yr

Role Description This is a full-time, on-site role located in Miami, FL, for a Senior AI/ML ... Collaborate with product managers, data scientist, and software engineers to integrate LLM-based ...

NIO

LLM Algorithmic Optimization Engineer

San Jose, CA · On-site

$143K - $186K/yr

Proficiency in C/C++ programming, familiar with at least one commonly used LLM inference engines ... The US base salary range for this full-time position is $143,200.00 - $186,000.00. * Within the ...

NIO

LLM Algorithmic Optimization Engineer

San Jose, CA

$143K - $186K/yr

Proficiency in C/C++ programming, familiar with at least one commonly used LLM inference engines ... The US base salary range for this full-time position is $143,200.00 - $186,000.00. * Within the ...

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Full Time Llm Engineer information

What are the key skills and qualifications needed to thrive as a Full Time LLM Engineer, and why are they important?

To thrive as a Full Time LLM Engineer, you need a strong background in computer science, machine learning, and natural language processing, often supported by a relevant degree and experience with large language models. Familiarity with frameworks such as PyTorch or TensorFlow, version control systems like Git, and experience deploying models using cloud platforms or MLOps tools are typically required. Strong problem-solving, collaboration, and communication skills help you work effectively within cross-functional teams and adapt to evolving technologies. These skills ensure the design, optimization, and deployment of robust language models that meet real-world application needs.

What are some common challenges faced by Full Time LLM Engineers when deploying large language models in production environments?

Full Time LLM Engineers often encounter challenges related to optimizing model performance, managing infrastructure costs, and ensuring reliable scaling in production. Handling inference speed and latency is critical, especially when integrating with real-time applications. Additionally, monitoring model behavior for biases, drift, and security vulnerabilities requires ongoing collaboration with data scientists and operations teams. Staying updated on the latest advancements and tools in the LLM landscape is essential for maintaining effective and efficient deployments.

What are Full Time LLM Engineers?

Full Time LLM Engineers are professionals who specialize in developing, fine-tuning, and deploying large language models (LLMs) like GPT, BERT, or similar AI models. They work with machine learning frameworks, manage data pipelines, and optimize model performance for various applications such as chatbots, content generation, and natural language processing tasks. These engineers often collaborate with data scientists, product teams, and software engineers to integrate LLMs into products and services. Their responsibilities may also include monitoring model outputs, ensuring ethical AI use, and staying updated with advancements in the field.

What is the difference between Full Time Llm Engineer vs Machine Learning Engineer?

AspectFull Time Llm EngineerMachine Learning Engineer
Required CredentialsAdvanced degree in law, computer science, or related fields; knowledge of legal data and NLPDegree in computer science, data science, or related fields; expertise in algorithms and data modeling
Work EnvironmentLegal tech companies, AI firms focusing on legal applications, research institutionsTech companies, startups, research labs working on AI and data-driven solutions
Employer & Industry UsageLegal industry, AI legal tools, compliance firmsTechnology industry, AI product development, data-driven applications

While both roles involve AI and data, a Full Time Llm Engineer specializes in legal language models and legal data, whereas a Machine Learning Engineer works broadly across various AI applications and industries. The Llm Engineer focuses on legal-specific NLP tasks, requiring legal knowledge combined with AI skills, while the Machine Learning Engineer has a broader scope in AI development across sectors.

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Full Time Llm Engineer jobs near you

LLM Engineer

USA Clinics Group

Northbrook, IL

$85K - $115K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago

Job description

Why USA Clinics Group?

Founded by Harvard-trained physicians with a vision of offering patient-first care beyond the hospital settings, we've grown into the nation's largest network of outpatient vein, fibroid, vascular, and prostate centers, with 170+ clinics across the country. Our mission is simple: deliver life-changing, minimally invasive care, close to home.

We're building a culture where innovation, compassion, and accountability thrive. While proud of our growth, we're even more excited about what's ahead, and the team we're building to get there. We look forward to meeting you!

Why You'll Love Working with us:

Rapid career advancement  Competitive compensation package

Positive, team-oriented environment  Work with cutting-ed technology

Make a real impact on patients' lives Join a fast-growing, mission-driven company

Position Summary:

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 operational efficiency, and support strategic initiatives across all departments. This role partners with business leaders to identify opportunities for AI adoption and develops scalable solutions that drive measurable organizational impact.

Position Details:

  • Location: Northbrook, IL
  • Schedule: Full-time, Monday through Friday on-site.
  • Compensation: $85,000 - $115,000
Key Responsibilities
  • Design, develop, deploy, and maintain AI-powered applications, workflows, copilots, agents, and automation solutions using large language models.
  • Partner with department leaders to identify business processes that can be improved through AI, automation, and advanced analytics.
  • Develop and maintain secure AI infrastructure, prompt libraries, knowledge bases, integrations, and governance standards.
  • Build AI solutions that support recruiting, credentialing, revenue cycle, finance, operations, marketing, and clinical support functions.
  • Create and maintain documentation, SOPs, technical standards, and best practices for AI implementation across the organization.
  • Monitor AI system performance, accuracy, adoption, security, and return on investment.
  • Lead AI education, training, and change management initiatives to increase organizational adoption and effectiveness.
  • Serve as the organization's subject matter expert on AI technologies, emerging trends, and innovation opportunities.
AI & Automation Responsibilities
  • Develop custom GPTs, AI agents, retrieval-augmented generation (RAG) solutions, and workflow automations that improve operational efficiency.
  • Integrate AI platforms with business systems such as ATS, CRM, credentialing, revenue cycle, HRIS, document management, and reporting tools.
  • Build automated reporting, data extraction, document processing, and decision-support solutions using AI technologies.
  • Evaluate and implement emerging AI technologies, models, frameworks, and tools to continuously improve business performance.

Requirements

Minimum Requirements
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or related field required.
  • Minimum 3-5 years of software engineering, machine learning, AI development, or automation experience.
  • Experience working with Large Language Models (LLMs), prompt engineering, AI APIs, and AI development platforms.
  • Proficiency in Python, SQL, APIs, cloud platforms, and workflow automation tools.
  • Experience building, deploying, and maintaining production-grade AI applications and integrations.

Benefits

  • Health
  • Dental
  • Vision
  • 401k & Match
  • Paid time off

Apply