> Markdown version of [/jobs/ext/3876967-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3876967-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** CTC Group - **Location:** Fort Meade, MD, United States - **Salary:** $190,000.0 - $220,000.0 - **Contract:** Permanent contract - **Skills:** LangGraph Framework, AI Evaluation, JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Systems Engineering, Cloud Engineering, Data Integration, Programming Tools, Python (Programming Language), Language Modeling, Software Tools, Software Engineering, Systems Architecture, Systems Integration, TypeScript, Haystack, LangChain, Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Llamaindex, Generative AI, Agentic-AI, Kubernetes, Information Technology, CrewAI, AutoGen, Semantic Kernel, Data Pipelines - **Published:** October 22, 2026 - **Apply:** https://www.careerbuilder.com/job-details/ai-engineer-fort-george-g-meade-md--2a1bf60d-43fe-45ff-b0ba-d93fc353d5d5 ## About the Role Artificial Intelligence (AI), United States Department of Defense (DoD), Artificial Intelligence (AI), Systems Engineering, Emerging Technology, Technical Support, Modeling Languages, Government, Architectural Analysis, Programming Tools, * Active TS/SCI with CI polygraph security clearance (polygraph must be current and completed within the past 7 years). * Degree in Computer Science, Engineering, Data Science, Mathematics, or a related discipline, subject to applicable education/experience substitutions. * Experience designing, developing, integrating, or evaluating AI/ML-enabled applications and software tools. * Experience with LLM applications, retrieval-augmented generation (RAG), prompt engineering, and agentic AI workflows. * Familiarity with AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, Haystack, or LlamaIndex. * Experience with software development, APIs, data integration, and system architecture. * Python, JavaScript/TypeScript, vector databases, embeddings, model APIs, and AI evaluation frameworks preferred. * Experience with secure AI development, cloud-based AI environments, or DoD/Intelligence Community applications preferred. Experience Requirements * HS Diploma/GED or Associate's degree with 20 years of relevant experience, or * Bachelor's degree and 18 years of relevant experience, or * Master's degree and 15 years of relevant experience ## Description CTC Group is seeking AI Engineers to provide technical advisory and systems engineering support for the development, integration, and evaluation of AI-enabled applications within Department of Defense (DoD) environments. This role focuses on large language models (LLMs), agentic AI workflows, orchestration frameworks, and emerging AI technologies to support secure, reliable, and mission-focused solutions., * Provide technical advisory support to government teams developing, integrating, and evaluating AI/ML-enabled applications and tools. * Assess AI architectures and solutions involving LLMs, retrieval-augmented generation (RAG), agentic workflows, prompt engineering, and orchestration frameworks. * Evaluate emerging AI frameworks, libraries, and development tools to determine suitability for mission requirements and operational environments. * Review AI application designs, model integration approaches, data pipelines, and technical risks related to performance, reliability, security, and scalability. * Develop prototypes, technical recommendations, engineering documentation, and briefings to support AI technology adoption and decision-making. * Support testing and evaluation of AI systems, including model performance, workflow validation, guardrails, and evaluation frameworks. * Collaborate with software engineers, platform teams, product managers, and government stakeholders to integrate AI capabilities into existing systems and workflows. * Research emerging AI technologies, development methodologies, and best practices to identify opportunities for innovation and continuous improvement.