Senior GenAI Engineer

Job Title: 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

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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 (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

• 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, 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

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 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

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 (LangFuse, LangSmith, Weights & Biases)

• Understanding of responsible AI concepts: bias mitigation, hallucination detection, safety guardrails

• Experience with AWS GovCloud, AWS Bedrock, or Azure OpenAI Service

• Working knowledge of Kubernetes, Terraform or other IaC tools, and infrastructure automation

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What You Can Expect:

 A culture of integrity.