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Llm Developer 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 ...

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

... LLM post-training -- SFT, RLHF, PPO, DPO, or reward model training -- and understanding of how training data quality affects model behavior Familiarity with RL frameworks (Gymnasium, dm_env) and the ...

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 ...

Conduct firmware reverse engineering using tools such as Ghidra and Binary Ninja to identify ... Leverage AI-powered security tooling and LLM-assisted workflows to accelerate analysis, triage, and ...

Senior Azure Cloud Engineer

Lenexa, KS · On-site

$52.25 - $70/hr

Architect and manage CI/CD pipelines using Azure DevOps, enabling automated build, test, and ... LLM)-based workflows into cloud pipelines, and leveraging frameworks such as Azure AI Agent Service ...

$98K - $134K/yr

... scalable, developer-friendly solutions. Key Responsibilities * Design and implement secure ... LLM ecosystems. * Deep understanding of modern AI security concepts, including prompt injection ...

Senior Azure Cloud Engineer

Lenexa, KS · On-site

$52.25 - $70/hr

Architect and manage CI/CD pipelines using Azure DevOps, enabling automated build, test, and ... LLM)-based workflows into cloud pipelines, and leveraging frameworks such as Azure AI Agent Service ...

Working knowledge of AI-based development tools and workflows (e.g., AI-assisted coding, LLM integration, prompt engineering for data workflows) * Working knowledge of reporting and dashboarding ...

Showing results 41-60

Llm Developer information

See Kansas salary details

$22

$44

$70

How much do llm developer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for llm developer in Kansas is $44.74, according to ZipRecruiter salary data. Most workers in this role earn between $35.14 and $54.23 per hour, depending on experience, location, and employer.

What does an LLM Developer do?

An LLM Developer designs, fine-tunes, and implements large language models (LLMs) for various applications, such as chatbots, content generation, and AI-driven tools. They work with machine learning frameworks, optimize model performance, and ensure efficient deployment. This role requires expertise in natural language processing (NLP), deep learning, and programming languages like Python.

What are the key skills and qualifications needed to thrive as an LLM Developer?

To excel as an LLM Developer, you need strong expertise in natural language processing (NLP), deep learning frameworks, and programming languages such as Python, typically supported by a degree in computer science or a related field. Familiarity with machine learning libraries (like TensorFlow or PyTorch), cloud computing platforms, and experience with prompt engineering or fine-tuning large language models is crucial. Excellent problem-solving abilities, collaboration, and effective communication skills help you design solutions and work efficiently within multidisciplinary teams. These qualifications are essential for successfully building, deploying, and optimizing large language models that drive impactful AI applications.

What is the role of a Llm developer?

A Large Language Model (LLM) developer designs, trains, and fine-tunes large-scale AI models for natural language processing tasks. They work with machine learning frameworks, handle large datasets, and optimize models for performance and accuracy, often requiring knowledge of programming languages like Python and tools such as TensorFlow or PyTorch.
What are popular job titles related to Llm Developer jobs in Kansas? For Llm Developer jobs in Kansas, the most frequently searched job titles are:
What cities in Kansas are hiring for Llm Developer jobs? Cities in Kansas with the most Llm Developer job openings:
Infographic showing various Llm Developer job openings in Kansas as of August 2026, with employment types broken down into 79% Full Time, 3% Part Time, and 18% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $93,059 per year, or $44.7 per hour.

Data Scientist

WellSky

Overland Park, KS • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago


WellSky rating

7.3

Company rating: 7.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

177th of 242 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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