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Senior GenAI Engineer
Job in
Reston, Fairfax County, Virginia, 22096, USA
Listed on 2026-06-01
Listing for:
CACI International
Full Time
position Listed on 2026-06-01
Job specializations:
-
Software Development
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Senior GenAI Engineer
Job Category:
Information Technology
Time Type:
Full time
Minimum Clearance Required to Start:
Secret
Employee Type:
Regular
Percentage of
Travel Required:
Up to 10%
Type of Travel:
Local
* *
* *
* The Opportunity:
*
* Join our team as a Senior GenAI Engineer supporting Department of War PPBE (Planning, Programming, Budgeting, and Execution) applications. You'll build cutting-edge AI solutions that directly modernize how the DoW plans, programs, budgets, and executes critical defense operations.
You'll 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. While the bulk of this role focuses on generative AI, you will also apply traditional machine learning techniques for forecasting, anomaly detection, and trend analysis on budget and execution data. This role operates across both unclassified and classified environments.
** Responsibilities:*
* + 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 (Lang Graph, 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
+ Establish LLM observability (cost, latency, quality) and responsible AI guardrails (hallucination detection, output validation, CUI safeguards)
+ Maintain full-stack applications (including Web Application development using modern technologies such as React, Type Script, 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
*
* Qualifications:
*
* _
Required:
_
+ Active Secret clearance
+ IAT Level II - Security+ Certification within 90 days of hire date
+ Bachelor's degree in Computer Science, Data Science, Mathematics, or related STEM field. Masters degree preferred.
+ Minimum of 10 years relevant experience
+ 7 years of experience with software implementation across all aspects of the SDLC
+ 1+ 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 Lang Graph, 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, Num Py, 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
_Desired:_
+ Experience building predictive models for financial forecasting, anomaly detection, or resource allocation optimization
+
Experience with vector databases (Chroma, Weaviate, pgvector) and embedding models
+ Familiarity with LLM observability tools (Lang Fuse, Lang Smith, Weights & Biases)
+ Understanding of responsible AI concepts: bias mitigation, hallucination detection, safety guardrails
+
Experience with AWS Gov Cloud, AWS Bedrock, or Azure OpenAI Service
+ Working knowledge of Kubernetes, Terraform or other IaC tools, and infrastructure automation
- ** What You Can Expect:*
* ** A culture of integrity.*
* At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
** An environment of trust.*
* CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
** A focus on continuous growth.*
* Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our…
Position Requirements
10+ Years
work experience
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