AI Engineer

CTC Group•Fort Meade, MD

20d•$190,000 - $220,000

About The Position

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 environments. The role focuses on large language models (LLMs), agentic AI workflows, orchestration frameworks, and emerging AI technologies to support secure, reliable, mission-focused solutions. The AI Engineer advises government teams, evaluates AI architectures and tools, reviews application designs and technical risks, and supports prototyping, testing, documentation, and adoption decisions. The position involves collaboration with software engineers, platform teams, product managers, and government stakeholders to integrate AI capabilities into existing systems and workflows.

Requirements

Active TS/SCI security clearance with CI polygraph; the 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.
One of the stated experience/education pathways: high school diploma/GED or associate degree with 20 years of relevant experience; bachelor's degree with 18 years; or master's degree with 15 years.

Nice To Haves

Python, JavaScript/TypeScript, vector databases, embeddings, model APIs, and AI evaluation frameworks.
Experience with secure AI development, cloud-based AI environments, or DoD/Intelligence Community applications.

Responsibilities

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 for suitability to 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.