AI/ML Engineer - Secret

Maania Consultancy Services; Laurel (MD); On-site; USD 120,000 - 190,000; Full time

Job summary

Maania Consultancy Services in Laurel, MD seeks a senior AI/ML professional to advance AI/ML capabilities across enterprise workflows, including LLM integration, RAG, and multi-step AI processes.

The role emphasizes designing inference pipelines, evaluating AI capabilities, testing, documenting findings, and collaborating with software and security teams to deliver reliable AI-enabled software.

Qualifications

• A master’s degree or Ph.D. in AI/ML/CS or related field, with demonstrated experience in AI/ML capabilities.
• At least four years of relevant AI/ML experience, including work with LLMs, retrieval-augmented generation, and prompt engineering.
• Hands-on experience integrating LLM-enabled software and RAG 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 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.

Skills

AI/ML expertise

LLMs

RAG

Prompt engineering

LLM integration

Agentic-AI

Inference pipelines

Documentation

Technical collaboration

Testing AI-software

Ownership contributions

Education

Master's/PhD in AI/ML/CS or related

Tools

OpenShift

Kubernetes

CI/CD

Job description

Required Skills:

• 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.


• Secure, restricted, disconnected, on‑premises, or classified development environments.


• Defense, government, aerospace, mission‑planning, or other regulated environments.


• Collaboration with software‑engineering, cybersecurity, platform, and customer‑facing technical teams.