AI/ML SW Engineer L2

Job Description: This is a full-time position requiring candidates to be prepared to start immediately. As an AI/ML Software Engineer L2, you will work directly with mission users to capture workflows, document operational decision points, and translate them into effective AI enabled capabilities. You will design and implement solutions that may include LLM powered workflows, agent-based automation, or hybrid approaches depending on mission needs. Your work will streamline analytical tasks, improve data accessibility and support rapid, informed decision making in high tempo environments. You’ll collaborate with operators, analysts, developers, and mission leadership to ensure solutions integrate cleanly with existing systems, perform reliably in production, and adhere to the security and governance expectations of classified environments.

Requirements

Individual Capabilities/Experience Required:

• Position requires TS/SCI clearance with a MD polygraph
  


• Fourteen (14) years experience as a SWE in programs and contracts of similar scope, type, and complexity is required. Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree.
  


• 3+ years of experience in AI/ML engineering, data science, or software engineering within cyber, intelligence, or national security environments
  

Required Skills:

• Experience capturing user workflows and translating them into structured process maps, automation requirements, or executable logic
  


• Experience designing or implementing LLM based or agentic workflows, including multi-step reasoning, tool integrations, and orchestration
  


• Experience integrating AI systems with APIs, enterprise data stores, or mission platforms
  


• Experience with programming languages such as Python
  

Desired Skills:

• Experience engineering AI capabilities in on-premise or multi classification environments
  


• Experience with AWS or Azure, including work in restricted or classified environments
  


• Experience with AI/LLM development frameworks such as LangChain, LangGraph, PydanticAI, or CrewAI
  


• Experience with ML frameworks such as PyTorch, TensorFlow, vLLM, or llama.cpp
  


• Experience with cyber or intelligence workflows, operational data types, or mission oriented analytical processes
  


• Master’s degree in AI, ML, Data Science or Cybersecurity, or Engineering