Join our team as a Senior GenAI Engineer supporting Department of War PPBE (Planning, Programming, Budgeting, and Execution) applications.
Build cutting-edge AI solutions that directly modernize how the DoW plans, programs, budgets, and executes critical defense operations.
Work with cross-functional teams to develop AI-enabled features, build intelligent document processing pipelines, and deliver data-driven analytics for mission-critical defense financial systems.
Design and develop AI-enabled features for PPBE applications using LLMs, GenAI, and agentic AI patterns.
Build RAG pipelines over budget justification documents, appropriation language, execution data, and DoD directives.
Implement agentic workflows using orchestration frameworks (LangGraph, Agno, Haystack, CrewAI) for multi-step budgeting tasks such as POM construction, BES preparation, and J-Book generation.
Develop traditional ML models for budget execution forecasting, obligation rate anomaly detection, and spend trend analysis.
Implement prompt engineering strategies and integrate AI/LLM APIs (OpenAI, Anthropic, Bedrock).
Architect full-stack AI features with reliable API integrations, error handling, and graceful degradation.
Maintain full-stack applications (including Web Application development using modern technologies such as React, TypeScript, NodeJS, Python, and .NET).
Address security vulnerabilities and ensure compliance with DoD cybersecurity standards.
Participate in code reviews, CI/CD pipelines, and collaborative development workflows.
Document technical implementations and stay current with AI and ML developments.

Requirements

Active Secret clearance
Bachelor’s degree in Computer Science, Data Science, Mathematics, or related STEM field. Masters degree preferred.
Masters degree and 12+ years of SDLC experience OR Bachelors and 15+ years of SDLC experience
Security+ Certification
2+ years experience developing generative AI / LLM-powered applications
Expert-level proficiency in Python; strong JavaScript proficiency
Experience with RESTful APIs and integrating AI/LLM APIs (OpenAI, Anthropic, Bedrock)
Experience with prompt engineering techniques (few-shot, chain-of-thought, system prompts)
Experience with LLM orchestration frameworks such as LangGraph, Agno, CrewAI, or similar
Experience with RAG architectures, agentic patterns, and vector databases
Strong understanding of ML fundamentals (supervised/unsupervised learning, model evaluation, feature engineering, NLP)
Experience with data analysis and ML libraries (pandas, NumPy, scikit-learn, or equivalent)
Experience with containerization (Docker) and at least one major cloud platform (AWS, Azure, or GCP)
Proficiency with Git version control and CI/CD pipelines
Strong written and verbal communication skills.

Benefits

Comprehensive benefits such as healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
Flexible time off benefit.
Access to robust learning resources.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonJavaScriptGenerative AILLMRESTful APIsPrompt engineeringMachine LearningData analysisContainerizationCloud platforms

Soft Skills

CommunicationCollaborationDocumentationProblem-solvingTeamwork

Certifications

Security+Bachelor's degreeMaster's degree