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RAG Application Engineer
Booz Allen HamiltonPosted 10/19/2026full-timeAnnapolis Junction • Maryland • United StatesMid-LevelSenior💰 $69,400 - $158,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining retrieval-augmented generation systems, with a strong focus on API development, authentication, and error-handling strategies. Proficient in collaborating with cross-functional teams to ensure secure and efficient application performance in cloud environments.
Highest-signal resume keywords
Python ProgrammingJava ProgrammingAPI DevelopmentDocker ContainerizationTS/SCI Clearance
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Build the application layer for retrieval-augmented generation systems
- Implement end-to-end query workflows including embedding generation, hybrid retrieval, reranking, citation assembly, and request-level guardrails
- Develop and maintain RAG runtime logic in a secure cloud-based environment
- Develop API endpoints and manage model integrations
- Enforce authentication and authorization controls
- Implement retry, timeout, and error-handling strategies
- Containerize services
- Partner with Cloud, Security, Data, and Site Reliability Engineering teammates
- Ensure the RAG runtime is stable, secure, observable, and ready for mission use
- Participate in identity verification, interviews, and required skills assessment
Requirements
What you’ll need- Experience building back-end or platform services using programming languages such as Python or Java
- Experience designing or integrating RAG workflows, including embeddings, hybrid retrieval, vector search, and reranking
- Experience implementing API request pipelines, orchestration logic, and service routing for AI model and search calls
- Experience enforcing authentication and authorization within service logic
- Experience developing resilient services with retry, backoff, timeout, and error-handling strategies
- Experience collaborating with data, search, cloud, and security engineers to optimize retrieval behavior
- Experience containerizing applications using Docker and deploying to ECS, EKS, or Kubernetes
- Experience building telemetry, including structured logs, metrics, and traces
- Ability to translate RAG requirements into clean, maintainable application logic
- TS/SCI clearance required
- HS diploma or GED
- Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information
- Required skills assessment and minimum proficiency threshold
- Nice to have: Amazon Bedrock, OpenSearch, BM25, citation assembly, grounding validation, model guardrails, API gateways, rate limiting, caching, Kafka, Amazon SQS, evaluation data pipelines, Terraform, CloudFormation, AWS CDK, and cross-disciplinary collaboration
Benefits
Comp & perks- Health benefits
- Life insurance
- Disability benefits
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards program
- Skills assessment as part of Booz Allen’s skills first hiring process
- Identity verification process using advanced biometrics and artificial intelligence
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Back-End DevelopmentRAG Workflow DesignEmbedding GenerationHybrid RetrievalError-Handling StrategiesTelemetry DevelopmentService RoutingAuthentication EnforcementOrchestration LogicVector Search
Soft Skills
CollaborationProblem-Solving
Tools & Technologies
ECSEKSKubernetesAmazon BedrockOpenSearchTerraformCloudFormationAWS CDKKafkaAmazon SQS
Certifications & Qualifications
HS Diploma or GEDTS/SCI Clearance
Industry Keywords
Retrieval-Augmented GenerationSecurity InvestigationService LogicMission UseCross-Disciplinary Collaboration