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Langchain Remote Jobs in Kansas (NOW HIRING)

Experience with common agentic workflow frameworks (e.g., LangChain, LlamaIndex). * Expert-level ... Contributions to open-source projects related to data or AI/ML. #LI-DM1 #LI-Remote Benefits of ...

Langchain Remote information

What is a Langchain remote?

A Langchain Remote job typically refers to a position that involves working with Langchain, an open-source framework for developing applications powered by large language models, from a remote location. Employees in these roles may focus on software development, AI integration, prompt engineering, or related tasks using Langchain tools and libraries. Remote roles offer flexibility in work location, allowing professionals to collaborate online with teams globally. These jobs are popular among those interested in cutting-edge AI technology and remote work culture.

What skills and qualifications are needed to thrive as a Langchain remote developer?

To thrive as a LangChain Remote Developer, you need strong proficiency in Python, experience with language models (LLMs), and a solid understanding of natural language processing concepts. Familiarity with the LangChain framework, cloud platforms (like AWS or Azure), and APIs is typically required, along with experience using version control systems such as Git. Strong problem-solving skills, self-motivation, and effective remote communication are essential soft skills for this role. These competencies are crucial for building scalable, reliable language model applications and collaborating efficiently in distributed teams.

What are common challenges faced by remote Langchain developers and how can they be addressed?

Remote Langchain developers often encounter challenges such as navigating asynchronous communication, staying updated with the rapidly evolving Langchain framework, and effectively collaborating on complex projects. To address these, it's important to establish clear communication channels (like Slack or Microsoft Teams), participate in regular virtual stand-ups, and proactively share progress or blockers. Engaging with the broader Langchain community and leveraging documentation or forums can also help stay current and troubleshoot issues efficiently.

What is the difference between Langchain Remote vs Python Developer?

AspectLangchain RemotePython Developer
Required CredentialsExperience with NLP, AI, and API integration; often self-taught or with specialized coursesBachelor's degree in Computer Science or related field; proficiency in Python
Work EnvironmentRemote, project-based, often freelance or contract rolesRemote or on-site, full-time or freelance roles in software development
Industry UsageAI, NLP, chatbot development, machine learning projectsWeb development, data analysis, automation, software engineering

Langchain Remote roles focus on AI and NLP projects requiring knowledge of language models and API integration, often in a remote, freelance setting. Python Developer roles are broader, covering various software development tasks across industries, with a strong emphasis on Python programming skills. While both can be remote, their core skills and project types differ significantly.

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

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

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

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

What cities in Kansas are hiring for Langchain Remote jobs?

Cities in Kansas with the most Langchain Remote job openings:

Infographic showing various Langchain Remote job openings in Kansas as of August 2026, with employment types broken down into 88% Full Time, 1% Part Time, and 11% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution.

Staff Software Engineer - AI Platform Engineer

Overland Park, KS • On-site, Remote

WellSky
Software Development • 1 - 5K employees

$2.5K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


Key responsibilities

  • Architect and build agentic AI solutions, including autonomous workflows, tool-calling agents, RAG pipelines, and LLM integrations.

  • Set the technical direction for AI-first engineering, guiding standards for agentic development, prompt engineering, context management, and LLM integration.

  • Partner with engineering teams and the Solutions organization to identify opportunities, integrate agentic workflows into SDLC and customer delivery processes, and build tooling for adoption.


WellSky rating

7.3

Company rating: 7.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


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.

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