Innovative Defense Technologies
AI Implementation Engineer - JobID-0245
$114K–$231K
Mount Laurel, New Jersey · Hybrid · Full-time · Posted Oct 29, 2026
- Experience
- 5–10+ years; the posting specifies professional experience in software engineering, machine learning engineering, AI engineering, or related technical roles.
- Education
- Bachelor’s degree in Information Technology, Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, Physics, or Math, or equivalent full-time professional experience; Master’s degree in Engineering or another technical field highly desired.
- Visa sponsorship
- Must be able to obtain and maintain an active Secret U.S. Security Clearance.
About the job
Designs, builds, and deploys production-grade AI systems for on-premises, air-gapped defense environments, including agentic workflows, model and tool integrations, retrieval pipelines, and local inference infrastructure.
What you'll do
- Build and evaluate agentic AI systems, conversational interfaces, and RAG pipelines for disconnected environments.
- Integrate LLMs, APIs, data sources, and MCP interfaces; optimize local CPU/GPU workloads and offline model-update infrastructure.
- Define technical requirements and collaborate with engineering teams and mission stakeholders to deliver, test, document, and optimize AI capabilities.
What they ask for
- Bachelor’s degree in a listed technical field or equivalent full-time professional experience.
- 5–10+ years of professional experience in software engineering, machine learning engineering, AI engineering, or related technical roles.
- Proficiency in Python, including NumPy and Pandas; hands-on experience with production local inference engines such as vLLM, SGLang, Triton Inference Server, or TensorRT-LLM.
- Experience with AI/ML frameworks, Linux and hardening, commercially available AI tooling/chat, hosting LLM servers and models, distributed networking, and containerization.
Nice to have
- Master’s degree in Engineering or another technical field.
- Experience with local LLM hosting, GPU architectures, AI gateways, model optimization, tool calling, RAG, vector stores, MCP, or container orchestration.
Pay
$114,000 - $184,000 USD base salary; $135,000 - $231,000 USD base salary
Tools
Python, NumPy, Pandas, vLLM, SGLang, Triton Inference Server, TensorRT-LLM, PyTorch
AI focus
Build and deploy on-premises, air-gapped agentic AI systems, LLM integrations, RAG pipelines, conversational interfaces, and production AI workflows; optimize local inference and offline model operations.
Model-written summary · the original posting is authoritative