ZipRecruiter

Log In

2

Remote Llm Training Jobs in Kansas (NOW HIRING)

Ascend Learning

Sr Data & AI Scientist

Leawood, KS · On-site +1

$151K - $215K/yr

This role designs and implements advanced analytical and AI/LLM-based solutions - including ... You will work a hybrid schedule from our Leawood, KS or will consider remote within the United ...

All JobsLlm Training JobsRemote Llm Training JobsRemote Llm Training Jobs in Kansas

Remote Llm Training information

What is remote LLM training?

Remote LLM training refers to the process of training large language models (LLMs), such as GPT or similar AI models, on distributed computing resources that are accessed remotely. This allows data scientists and AI engineers to leverage powerful hardware, like GPUs or TPUs, which may not be available locally. Remote LLM training is commonly used to handle the massive computational requirements of modern AI models and enables collaboration among teams in different locations. It also provides scalability, flexibility, and cost-effectiveness for organizations working on advanced AI projects.

What skills and qualifications are needed for remote LLM training?

To excel in Remote LLM Training, you need a strong background in machine learning, natural language processing, and computer science, often demonstrated by a relevant degree or industry experience. Familiarity with frameworks like PyTorch or TensorFlow, experience with large-scale data management, and knowledge of distributed computing systems are typically required. Strong problem-solving skills, effective communication, and the ability to work independently are vital soft skills in this remote, collaborative environment. These competencies ensure efficient model training, high-quality output, and seamless teamwork across distributed teams.

What are common challenges in remote LLM training, and how can they be addressed?

Professionals in remote LLM (Large Language Model) training roles often face challenges such as managing distributed team communication, ensuring data privacy, and handling large-scale computational resources. Staying organized with asynchronous collaboration tools and maintaining clear documentation can help streamline teamwork. Additionally, understanding cloud-based infrastructure and adhering to strict data security protocols are essential for handling sensitive datasets. Regular check-ins and knowledge-sharing sessions also foster a supportive and productive remote work environment.

What is the difference between Remote Llm Training vs Data Scientist?

AspectRemote Llm TrainingData Scientist
Required CredentialsKnowledge of NLP, machine learning, programming skillsStatistics, programming, domain expertise
Work EnvironmentRemote, collaborative teams, AI/ML companiesRemote or on-site, diverse industries
Industry UsageAI development, NLP projectsData analysis, predictive modeling

Remote Llm Training focuses on developing and fine-tuning large language models, requiring expertise in NLP and machine learning. Data Scientists analyze data to extract insights and build models across various industries. While both roles involve programming and data skills, Remote Llm Training is specialized in AI model development, whereas Data Scientists work on broader data analysis tasks.

What are the most commonly searched types of Llm Training jobs in Kansas?

The most popular types of Llm Training jobs in Kansas are:

What are popular job titles related to Remote Llm Training jobs in Kansas?

For Remote Llm Training jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Remote Llm Training jobs in Kansas look for?

The top searched job categories for Remote Llm Training jobs in Kansas are:

What cities in Kansas are hiring for Remote Llm Training jobs?

Cities in Kansas with the most Remote Llm Training job openings:

Remote Llm Training jobs near you

Staff Software Engineer - AI Platform Engineer

Overland Park, KS • On-site, Remote

WellSky
Software Development • 1 - 5K employees

7.3

Company rating: 7.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

181st of 246 rated software companies

Good employer

Paid breaks

Respectful managers

Learn more about WellSkyexternal

$2.5K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago

Job description

The Staff Software Engineer (AI Platform Engineer) is responsible for driving AI-first engineering across WellSky by architecting and building agentic solutions, automating developer workflows, and enabling engineers and the Solutions organization to deliver faster and better. The scope of this job includes setting the technical direction for agentic AI development on the Engineering Enablement team, leading org-wide enablement and training, and partnering with product engineering teams and the Solutions organization to integrate agentic workflows into the software development lifecycle and customer delivery processes.

Location: This is a remote position. Candidates located within 50 miles of WellSky's headquarters in Overland Park, KS will join our WHQ community and participate in our in-office collaboration experience.

Key Responsibilities:

  • Architect and build agentic AI solutions - including autonomous workflows, tool-calling agents, RAG pipelines, and LLM integrations - that are used daily by WellSky engineers and the Solutions organization.
  • Set the technical direction for AI-first engineering on the Engineering Enablement team, guiding the Senior Software Engineer and defining standards for agentic development, prompt engineering, context management, and LLM integration across WellSky repositories.
  • Own the AI enablement platform: agent skills, CI/CD automation, developer tooling, and shared libraries that raise the productivity floor for the entire engineering organization.
  • Lead training sessions, workshops, demos, and office hours that build AI-first engineering skills and practices across WellSky's engineering organization.
  • Partner with the Solutions organization to identify opportunities and integrate agentic workflows into SDLC and customer-facing delivery processes.
  • Embed directly with product engineering teams to identify where agentic AI delivers real value, then build and hand off the tooling that makes adoption stick.
  • Evaluate agent output quality, establish evaluation and observability practices, and ensure AI tooling is safe and reliable before rollout.
  • Serve as WellSky's internal authority on agentic AI development patterns, emerging tooling, and best practices.
  • Write clear, high-quality documentation, guides, and enablement materials consumed by hundreds of engineers.
  • Collaborate with engineering leaders to prioritize the highest-value AI enablement opportunities across the organization.
  • Perform other job duties as assigned.

Required Qualifications:

  • Bachelor's degree in a related field, or equivalent work experience.
  • 8-12 years of relevant software engineering experience, with substantial depth in .NET / C#.
  • At least 2 years of hands-on experience developing with LLMs, including a minimum of 1 year architecting and building agentic AI solutions - agentic workflows, tool/function calling, RAG, prompt and context engineering, and agent evaluation.
  • Must have shipped agentic systems to production that are used by real users; prototypes and proofs of concept alone do not meet this bar.
  • Strong, current .NET / C# skills (.NET 8 or newer, ASP.NET Core); must be able to work directly in WellSky's .NET codebases and embed with .NET product teams.
  • Proficiency in Python, the primary language for AI tooling, agent platforms, and data pipelines on this team.
  • Experience building internal developer tools, CI/CD automation, or shared libraries for other engineers - not just product features.
  • Hands-on experience integrating LLM APIs (Anthropic, OpenAI, or Vertex AI), including tool/function calling and streaming at production scale.
  • Daily use of AI-assisted development tools such as Claude Code, GitHub Copilot, or Cursor.
  • Demonstrated ability to lead technical direction, guide senior engineers, and drive adoption of new practices across a team or organization.
  • Excellent written communication skills; comfortable producing documentation and enablement materials for a large technical audience.
  • Comfortable running training, demos, and office hours for engineers at all levels.

Preferred Qualifications:

  • TypeScript / JavaScript proficiency; React experience strongly preferred.
  • Experience with event-driven messaging systems - Apache Kafka, Google Pub/Sub, Azure Service Bus, or RabbitMQ (Kafka is the standard on our go-forward platform).
  • Experience with Model Context Protocol (MCP) - building MCP servers, clients, and agent integrations (strong differentiator).
  • PostgreSQL and vector database experience - pgvector, Pinecone, Weaviate, or Vertex AI Search.
  • Google Cloud Platform experience - Cloud Run, Vertex AI, GKE (Azure or AWS also considered).
  • LLM evaluation and observability experience - evals, tracing, prompt regression testing.
  • Familiarity with agent and LLM frameworks such as Claude Agent SDK, Semantic Kernel, Microsoft.Extensions.AI, LangChain, or LangGraph.
  • Domain-Driven Design and CQRS experience (MediatR or equivalent).
  • OpenTelemetry and distributed tracing experience - Jaeger, Seq, Datadog, or Grafana.
  • Experience guiding or mentoring senior engineers.
  • Healthcare industry experience preferred; HIPAA and PHI handling experience weighted highly.
  • Consulting instinct - able to embed with a team, diagnose where AI actually helps, and say no clearly where it does not.
  • High tolerance for ambiguity and a fast-moving tooling landscape.

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-Remote


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.

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

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.

Data Privacy Notice for Job Applicants and Teammates

What WellSky employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply