--- title: 'Senior AI Enablement Software Engineer at Aechelon Technology' canonical: 'https://feeny.ai/job/senior-ai-enablement-software-engineer-aechelon-technology-overland-park-264vttdbf5m5' type: 'job' last_seen: '2026-11-09' --- # Senior AI Enablement Software Engineer at Aechelon Technology - **Company:** Aechelon Technology - **Location:** Overland Park, KS - **Posted:** 2026-10-21 - **Last confirmed live:** 2026-11-09 - **Apply:** https://job-boards.greenhouse.io/aechelontechnology/jobs/5459244008 ## Job description Aechelon Technology, a Shield AI company, is a leading producer of 3D simulator content, including Geospecific visual/sensor databases and realistic 3D models. We seek people who share our passion for real-time computer graphics and commitment to our mission of helping make our Nation’s pilots safer. We will give you a chance to work with some of the most talented people in the graphics industry. The Senior AI Enablement Software Engineer will design tools and infrastructure that help teams use artificial intelligence effectively. This hands-on individual contributor will work with locally hosted models, build reusable AI skills and integrations, and introduce practical AI workflows. The engineer will initially focus on enabling software development teams, with the opportunity to expand these capabilities across the organization. They will collaborate with infrastructure, security, and technical peers while mentoring others on the effective and responsible use of AI. Responsibilities will include, but not be limited to the following: - 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. Minimum Qualifications: - 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 Qualifications: - 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. ## Compensation and Benefits $128,000 - $192,000 per year Final compensation is based on factors such as the candidate's skills, qualifications, and experience. We offer a very attractive compensation package including competitive base salary, company performance-based profit sharing, 401k, 100% employer paid health benefits (medical, dental, vision, life, std, ltd, and life insurance plans). No relocation reimbursement provided. This position description is not intended to be a complete listing of activities, duties or responsibilities that are required of the employee holding this position. Duties, responsibilities and activities may be changed or others may be assigned at any time by the Company with notice to the employee. Shield AI is an equal opportunity employer. We are committed to providing access and opportunities to individuals with disabilities. If you are an applicant who is unable to fully utilize/access our application process because of a disability, Aechelon Technology will provide a reasonable accommodation. Please send an email to dl-aechelon_hr-team@shield.ai to request that accommodation, and please be sure to include a detailed description of your requested accommodation, your name and preferred method of contact. ## About Aechelon Technology ## Company Overview - **One-liner**: Aechelon Technology provides mission-grade synthetic reality visualization and simulation solutions for defense, national security, and emergency response customers. - **Entity Type**: Private (acquired by Shield AI, Inc. in November 2024) - **Headquarters**: South San Francisco, California, United States - **Founded**: 1998 - **Founders**: Nacho Sanz-Pastor (Co-Founder & CEO), Javier Castellar (Co-Founder & Chief Strategy Officer) ## Core Business - Primary industry/industries: Defense Technology, Simulation & Training, Synthetic Reality, AI/ML Data Generation - Target customers: U.S. Department of Defense (all branches), U.S. Allies, Government Prime Contractors, national security and emergency response organizations - Mission statement: "Ensure the safety, mission readiness and tactical superiority of national security and emergency response customers with immersive, high-fidelity and geo-specific representations of the real world." ## Products & Services - **Nucleus**: Real-time image generator with 8K imagery at 240Hz, multi-GPU single chassis design, incorporating AI/ML-driven databases. - **Nexus**: Secure shared storage solution for geospatial and sensor databases. - **SkyBeam™**: Rapid database updates and full motion video (FMV) generation. - **RTK (Radar Toolkit)**: Software toolkit for radar simulation and sensor modeling. - **Geo-Specific Databases**: High-fidelity, multi-spectral digital twin of Earth for training, testing, and mission rehearsal. - **Mixed Reality (MR) Trainers**: Head-mounted display solutions for immersive training, including eye-limiting multi-sensor MR systems. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private company, acquired by Shield AI) - **Key Metric**: Annual Revenue of ~$23.6 million (LinkedIn estimate) - **Notable Investors/Partners**: Shield AI (parent company since November 2024), Sagewind Capital (prior investment) - **Growth Signals**: Headcount of 174 employees (+17.8% YoY, +34 people); LinkedIn followers grew 73.1% year-over-year; over 1,000 DoD operational flight training systems supported across U.S. and Allies; active on major defense programs including F-35, P-8 Poseidon, CH-47F, MH-60R/S, and F-16. ## Competitive Advantages - **Unmatched Fidelity**: Real-time 8K imagery at 240Hz with real-world physics, precise terrain, weather, and light reflection. - **Multi-Domain Expertise**: Decades of experience (since 1998) in visual simulation for air, ground, and maritime platforms across all U.S. military branches. - **AI/ML Integration**: Ability to generate synthetic training data and virtual sensor feeds to validate autonomous systems and AI/ML models at scale. - **Proven Track Record**: Excellent past performance evaluations on numerous high-profile defense programs with zero delivery failures noted. - **Patented Technology**: Holds 8+ patents in image generation and display systems, with 11 patents attributed to key engineer David Morgan. ## Strategic Focus - **Autonomous Systems & AI**: Scaling synthetic data generation for AI/ML training of autonomous navigation and ISR systems. - **Digital Twin Expansion**: Developing global commercial databases for multi-domain operations. - **Multi-Spectral Sensor Simulation**: Enhancing sensor capabilities across visual, radar, and infrared spectrums for mission rehearsal. - **Growth Through Shield AI**: Leveraging acquisition to accelerate development and expand market reach. ## Why Work Here - **Mission-Driven Work**: Directly contribute to national security and support U.S. Armed Forces and Allies. - **Cutting-Edge Tech**: Work with state-of-the-art AI/ML, 8K real-time graphics, and mixed reality systems. - **Stability & Growth**: Long-standing company (27+ years) with consistent growth and recent acquisition by Shield AI. - **Culture**: Emphasizes innovation, trustworthiness, and "performance without compromise" as core values. - **Locations**: South San Francisco, CA (HQ); Overland Park, KS; Orlando, FL; Farmer's Branch, TX; presence in Spain and Canada. - **Open Roles**: 17 active positions across Software Engineering, QA, Data Science, Systems Engineering, IT, and Content Creation (as of search date). ## Sources 1. [aechelon.com](https://aechelon.com/) 2. [aechelon.com/about](https://aechelon.com/about/) 3. [aechelon.com/careers](https://aechelon.com/careers/) 4. [Greenhouse Job Board](http://job-boards.greenhouse.io/aechelontechnology) 5. 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