
Senior AI Enablement Software Engineer
Aechelon Technology23 hours ago
Overland Park, KS, USASenior
Base Salary
$128k - $192k/yr
Responsibilities
- Design and implement AI tools, services, reusable skills, agent tools, and developer infrastructure.
- Evaluate, deploy, and optimize locally hosted models on workstations and shared internal systems.
- Integrate models with source repositories, documentation, build systems, issue trackers, and other internal tools.
- Build workflows and curate datasets for training and fine-tuning models using internal source code and technical documentation.
- Develop practices for model configuration, skill development, prompt management, evaluation, and versioning.
- Assess model and workflow quality, performance, resource usage, reliability, and suitability.
- Collaborate with infrastructure and security teams on deployment, data handling, access control, governance, and operational support.
- Diagnose model behavior, context management, tool integration, inference performance, and hardware-utilization issues.
- Create documentation, examples, and training materials and mentor users on appropriate AI practices.
- Track developments in local models, agent systems, inference runtimes, and AI-assisted development tools.
Requirements
- 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 other teams.
- Experience with software codebases written in Python and C++.
- Experience integrating generative AI into applications and workflows, including 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 AI-generated output limitations.
- 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.
- Preferred: experience creating Codex-style skills, agent tools, plugins, or Model Context Protocol services.
- Preferred: experience with GPU computing, model quantization, inference optimization, or TypeScript development.
- Preferred: familiarity with AI security, data governance, access control, responsible-use practices, real-time graphics, geospatial visualization, or content creation.
- Preferred: experience with Git or Perforce and defect-tracking systems such as Jira or Bugzilla.
Benefits
- $128,000-$192,000 per year in base compensation.
- Company performance-based profit sharing.
- 401(k).
- 100% employer-paid medical, dental, vision, life, short-term disability, and long-term disability insurance plans.
- No relocation reimbursement is provided.
Tech Stack
Categories
About Aechelon Technology
Aechelon Technology builds visual simulation systems for military and government training, including image generators, geospecific visual and sensor databases, and realistic 3D models, plus integration services. It sells hardware, software, and content to U.S. Government agencies and defense prime contractors for flight and sensor-training simulators. Founded in 1998 and headquartered in South San Francisco, the company is privately held and backed by Sagewind Capital.