AI Engineer

CTC Group

Fort Meade, MD, United States Full-time 11 days ago
Workplace
On-site
Location
Fort Meade, MD, United States
Who can apply
Based in the United States: you usually need the right to work there

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About the role

Summary 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.

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 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.

Qualifications

* 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

Pay Information The final salary may be influenced by various factors, such as location, labor categories, experience, education, and/or certifications. CTC also provides a variety of benefits as well as opportunities for continuous education and development. The estimated salary range for this position is $190,000 - $220,000.

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About Machine Learning Engineer jobs in the United States

Open jobs
1,270 open Machine Learning Engineer jobs in the United States, 178 of them posted in the last 7 days. See all Machine Learning Engineer jobs in the United States
Typical advertised pay
$183,000 – $261,000 a year for the middle half of the 685 job ads from 291 employers that state a salary in US dollars (median $220,000). This is base pay as advertised, not total compensation. Machine Learning Engineer salary in the United States
Skills the job ads ask for most
  • Python 81%
  • LLMs 69%
  • AWS 36%
  • RAG 35%
  • CI/CD 30%
  • PyTorch 28%

Share of the 478 newest postings for the role that name each skill. Resume keywords for Machine Learning Engineer jobs

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