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# AI/ML Engineer - Secret

- **Company:** Maania Consultancy Services
- **Location:** Laurel, MD, United States
- **Experience:** Expert
- **Salary:** $107,900.0 - $195,050.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software Applications, Continuous Integration, Machine Learning, OpenShift, Software Systems, Systems Integration, Retrieval-Augmented Generation, Delivery Pipeline, Large Language Models, Prompt Engineering, Software Security, AI Platforms, Kubernetes, Information Technology, Automation Anywhere, Devsecops
- **Published:** August 30, 2026
- **Apply:** https://www.careerjet.com/job/usd0803078eaa041abcb5fe332ed07d76b/eaa

## About the Role

* A master's degree or Ph.D. in Artificial Intelligence, Machine Learning, Computer Science, or a related field, along with demonstrated experience working on or developing AI/ML capabilities.
 * At least four years of relevant AI/ML experience that includes work with large language models, retrieval-augmented generation, and prompt engineering.
 * Hands-on experience integrating LLM-enabled software and RAG capabilities into applications or workflows.
 * Developing or supporting agentic-AI capabilities and multi-step AI workflows.
 * Designing, building, or supporting inference pipelines.
 * Ability to evaluate AI-enabled capabilities and clearly document findings, design decisions, and results.
 * Testing and documenting AI-enabled software capabilities.
 * Ability to clearly explain your personal technical ownership and contributions.
 * Strong collaboration and technical-communication skills.

Preferred Background
Experience with several of the following can strengthen your fit:

 * Moving AI capabilities beyond coursework, personal projects, or demonstrations into operational software workflows.
 * Evaluating grounding, reliability, output quality, hallucinations, or other limitations of AI-enabled systems.
 * Integrating AI services with backend APIs or established software applications.
 * Secure software-development lifecycle and DevSecOps practices.
 * OpenShift, Kubernetes, CI/CD, or containerized application delivery.



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