AI/ML Engineer - Secret

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.

Originally posted on Himalayas