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Large Language Model Llm Jobs in Kansas (NOW HIRING)

The role blends applied data science, large language model (LLM) evaluation, prompt and workflow engineering, and hands-on collaboration with product and clinical stakeholders to move ideas from ...

The role blends applied data science, large language model (LLM) evaluation, prompt and workflow engineering, and hands-on collaboration with product and clinical stakeholders to move ideas from ...

The role blends applied data science, large language model (LLM) evaluation, and platform engineering to make high-value insights accessible and trustworthy at scale. Key Responsibilities: * Design ...

The role blends applied data science, large language model (LLM) evaluation, and platform engineering to make high-value insights accessible and trustworthy at scale. Key Responsibilities: * Design ...

... space. • Apply foundational and large language models to transform clinical audio and ... LLM systems (accuracy metrics, human review, annotation, error analysis). • Experience with ...

Senior Azure Cloud Engineer

Lenexa, KS · On-site

$52.25 - $70/hr

Familiarity with agentic AI concepts and tooling, including orchestrating AI agents, integrating large language model (LLM)-based workflows into cloud pipelines, and leveraging frameworks such as ...

Senior Azure Cloud Engineer

Lenexa, KS

$52.25 - $70/hr

Familiarity with agentic AI concepts and tooling, including orchestrating AI agents, integrating large language model (LLM)-based workflows into cloud pipelines, and leveraging frameworks such as ...

Senior Azure Cloud Engineer

Lenexa, KS

$52.25 - $70/hr

Familiarity with agentic AI concepts and tooling, including orchestrating AI agents, integrating large language model (LLM)-based workflows into cloud pipelines, and leveraging frameworks such as ...

Senior Legal Counsel

Wichita, KS · On-site

$124K - $169K/yr

... large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements and/or data processing agreements. * Work closely ...

Senior Legal Counsel

Wichita, KS

$124K - $169K/yr

... large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements and/or data processing agreements. * Work closely ...

Senior Legal Counsel

Wichita, KS

$124K - $169K/yr

... large language model ("LLM") model training, and/or other emerging artificial intelligence ("AI") technologies, and (v) business associate agreements and/or data processing agreements. * Work closely ...

Senior Azure Cloud Engineer

Lenexa, KS · On-site

$50.75 - $68/hr

... large language model (LLM)-based workflows into cloud pipelines, and leveraging frameworks such as Azure AI Agent Service, Semantic Kernel, or LangChain to automate operational and development tasks ...

CrowdStrike is looking for a Principal Data Engineer with deep expertise in Large Language Models ... This role requires significant hands-on experience in LLM integration, agentic workflows, and agent ...

Collaborate with the LLM AI Engineer to integrate large language models into translation pipelines and compare approaches for different language pairs. * Develop post-editing and quality assurance ...

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Large Language Model Llm information

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.

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.

Which 3 jobs will survive AI?

Large Language Model (LLM) specialists, healthcare professionals, and skilled tradespeople are likely to continue thriving as AI automates routine tasks. These roles require complex decision-making, emotional intelligence, or manual skills that are difficult for AI to replicate fully. Continuous learning and adaptability remain important for job security in these fields.

What jobs can I do with LLM?

Large Language Models (LLMs) are used in roles such as AI research scientist, NLP engineer, data scientist, and machine learning engineer. These jobs involve developing, fine-tuning, and deploying LLMs, often requiring skills in programming, data analysis, and understanding of AI frameworks like TensorFlow or PyTorch.

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 jobs pay 500,000 a year?

High-paying jobs that can reach or exceed $500,000 annually include executive roles such as CEOs, CFOs, and other C-suite positions, as well as specialized professions like top-tier surgeons, investment bankers, and successful entrepreneurs. These roles typically require extensive experience, advanced skills, and often involve leadership, risk management, or highly specialized expertise.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms. Compensation at this level reflects significant expertise and responsibility in developing and deploying AI systems.
What are the most commonly searched types of Large Language Model Llm jobs in Kansas? The most popular types of Large Language Model Llm jobs in Kansas are:
What are popular job titles related to Large Language Model Llm jobs in Kansas? For Large Language Model Llm jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Large Language Model Llm jobs in Kansas look for? The top searched job categories for Large Language Model Llm jobs in Kansas are:

Data Scientist

WellSky

Overland Park, KS • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago


WellSky rating

7.3

Company rating: 7.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

180th of 246 rated software companies


Job description

The Data Scientist role focuses on turning clinical conversations into accurate, useful documentation, with deep emphasis on building and evaluating the model and agent workflows (the "harness") that make these solutions reliable. The role blends applied data science, large language model (LLM) evaluation, prompt and workflow engineering, and hands-on collaboration with product and clinical stakeholders to move ideas from prototype to trustworthy, production-ready capability.
Key Responsibilities:
  • Partner with the product team in an exploratory, iterative fashion to design and prototype an ambient listening and documentation solution for the Home Infusion and Ambulatory Infusion space.
  • Apply foundational and large language models to transform clinical audio and conversation into accurate, structured, and clinically useful documentation.
  • Design, build, and refine the agentic harness (prompts, workflows, tool orchestration, and guardrails) that drives reliable ambient documentation.
  • Develop rigorous evaluation frameworks to measure documentation accuracy, completeness, and clinical soundness, including gold-standard datasets, human review, error-mode analysis, and ongoing quality monitoring.
  • Rapidly prototype and test approaches, using evaluation results to guide iteration and inform product direction.
  • Collaborate with product, engineering, and clinical stakeholders to translate exploratory findings into production-ready capabilities.
  • Contribute to responsible AI practices, including appropriate handling of sensitive healthcare data and attention to safety in clinical documentation.
  • Perform other job duties as assigned.

Required Qualifications:
  • Bachelor's degree in a related field or equivalent work experience
  • 2 - 4 years related work experience

Preferred Qualifications:
  • Healthcare industry experience, especially with healthcare data.
  • Experience applying large language models or foundational models to speech, conversation, or documentation tasks.
  • Experience with cloud technologies, including modern API orchestrators
  • Experience designing evaluation methodologies for AI/ML or LLM systems (accuracy metrics, human review, annotation, error analysis).
  • Experience with ambient documentation, speech-to-text, or clinical documentation workflows.
  • Familiarity with infusion, home health, or ambulatory clinical workflows.
  • Experience building agentic workflows, prompt engineering, or tool-orchestrated LLM applications.
  • Proficiency in Python, and experience prototyping and iterating quickly alongside a product team.

Job Expectations:
  • Willing to work additional or irregular hours as needed
  • Must work in accordance with applicable security policies and procedures to safeguard company and client information
  • Must be able to sit and view a computer screen for extended periods of time

#LI-TC1
#LI-Onsite
WellSky is where independent thinking and collaboration come together to create an authentic culture. We thrive on innovation, inclusiveness, and cohesive perspectives. At WellSky you can make a difference.
WellSky provides equal employment opportunities to all people without regard to race, color, national origin, ancestry, citizenship, age, religion, gender, sex, sexual orientation, gender identity, gender expression, marital status, pregnancy, physical or mental disability, protected medical condition, genetic information, military service, veteran status, or any other status or characteristic protected by law. WellSky is proud to be a drug-free workplace.
Applicants for U.S.-based positions with WellSky must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Certain client-facing positions may be required to comply with applicable requirements, such as immunizations and occupational health mandates.
Here are some of the exciting benefits full-time teammates are eligible to receive at WellSky:
  • Excellent medical with Rx, dental, and vision benefits
  • Mental Health support through EAP
  • Generous paid time off, plus 13 paid holidays
  • 100% vested 401(K) retirement plans
  • Educational assistance up to $2500 per year

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