AI/ML Engineer - Secret

Summary

Maania Consultancy Services is seeking an AI/ML Engineer to develop and support artificial intelligence and machine learning capabilities. The role focuses on large language models, retrieval-augmented generation, prompt engineering, agentic AI workflows, inference pipelines, and evaluating and documenting AI-enabled software.

Responsibilities

• 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

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
• 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

Qualifications

Must Haves

• 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

Nice to Haves

• 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