AI/ML Engineer – LLM Workflows for National Security

Wyetech; Maryland; On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

SEP IRA

PTO up to 200 hours/year

Medical, Vision & Dental

Life & AD&D

Disability insurance

Employee Referral Bonus

Contract location flexibility

Job summary

Wyetech is seeking an AI/ML Engineer to work with federal government customers, translating mission workflows into AI-enabled capabilities. You will design LLM-based solutions, integrate with APIs and data stores, and collaborate across teams to ensure secure, production-ready delivery in classified environments.

Ideal candidates have a TS/SCI clearance, strong Python skills, and experience with AI frameworks.

Qualifications

• TS/SCI clearance with polygraph required.
• Bachelor’s degree; 14+ years overall experience with 3+ years in AI/ML or data science in cyber, intelligence, or national security.
• Experience translating workflows into executable automation and AI-enabled capabilities.
• Proficient in Python and AI/ML development frameworks.

Responsibilities

• Capture user workflows and translate into structured process maps and automation requirements.
• Design and implement LLM-based or agentic workflows with multi-step reasoning and tool orchestration.
• Collaborate with operators, analysts, developers, and mission leadership for production-ready solutions.
• Ensure integration with security and governance requirements of classified environments.

Skills

Workflow mapping

LLM workflows

API integration

Python programming

Education

Bachelor’s degree

14+ years experience

3+ years in AI/ML or data science in cyber/national security

Tools

LangChain

LangGraph

PydanticAI

CrewAI

Job description

Wyetech is seeking an AI/ML Engineer to work with federal government customers, translating mission workflows into AI-enabled capabilities. You will design LLM-based solutions, integrate with APIs and data stores, and collaborate across teams to ensure secure, production-ready delivery in classified environments.

Ideal candidates have a TS/SCI clearance, strong Python skills, and experience with AI frameworks.