Senior AI Enablement Software Engineer

Overland Park, Kansasfull time

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senior

$128k–$192k

H1B: no

Aechelon Technology The Senior AI Enablement Software Engineer designs AI tools and infrastructure to help teams use artificial intelligence effectively. This role focuses on enabling software development teams by building reusable AI skills, integrating locally hosted models, and mentoring others on AI practices.

Responsibilities

Design and implement AI tools, services, reusable skills, agent tools, and developer infrastructure.
Evaluate, deploy, and optimize locally hosted models on individual workstations and shared internal systems.
Connect models with source repositories, documentation, build systems, issue trackers, and other internal tools.
Build workflows and curate approved datasets for training and fine-tuning models using internal source code and technical documentation.
Work with software teams to identify practical use cases and turn successful prototypes into supported capabilities.
Develop and maintain practices for model configuration, skill development, prompt management, evaluation, and versioning.
Assess model and workflow quality, performance, resource usage, reliability, and suitability for their intended purpose.
Collaborate with infrastructure and security teams on deployment, data handling, access control, governance, and handoff for operational support.
Diagnose issues involving model behavior, context management, tool integration, inference performance, and hardware utilization.
Create documentation, examples, and training materials, and mentor users on appropriate AI practices, limitations, and review processes.
Track developments in local models, agent systems, inference runtimes, and AI-assisted development tools.

Qualification

Bachelor’s degree in EngineeringUnderstanding of dataset preparationStrong analyticalExperience creating Codex-style skillsExperience with GPU computingFamiliarity with AI securityFamiliarity with real-time graphics

Required

Bachelor’s degree in Engineering, Computer Science, Data Science, or a similar technical field, or equivalent professional experience.
Significant experience developing production software, developer tools, libraries, services, APIs, or platform infrastructure for use by other teams.
Experience working with or integrating into software codebases written in Python and C++.
Experience integrating generative AI into applications and workflows, including model inference, training or fine-tuning, prompt design, tool calling, structured output, and retrieval-augmented generation.
Experience running or integrating models in local or privately hosted environments.
Understanding of dataset preparation, model evaluation, context management, and the limitations of AI-generated output.
Familiarity with Windows and Linux development environments.
Strong analytical, troubleshooting, communication, and collaboration skills.
Ability to explain AI capabilities and limitations to audiences with different levels of technical experience.

Preferred

Experience training or adapting Nemotron or comparable open-weight models using source code and technical documentation.
Experience creating Codex-style skills, agent tools, plugins, or Model Context Protocol services.
Experience with GPU computing, model quantization, or inference optimization.
Experience scripting or developing tools in TypeScript.
Familiarity with AI security, data governance, access control, and responsible-use practices.
Familiarity with real-time graphics, geospatial visualization, content creation, or other technical domains supported by the organization.
Experience with Git or Perforce and defect-tracking systems such as Jira or Bugzilla.

Benefits

Dental
Vision
401(k)
Life Insurance

Company

Aechelon Technology

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Source: greenhouse

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