Remote AI/ML Full-Stack Engineer (LLMs & RAG)

Booz Allen Hamilton

Chantilly (VA)

On-site

USD 87,000 - 198,000

Full time

14 days+

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Job summary

Booz Allen Hamilton is seeking a skilled Software Engineer to design and deliver secure, scalable full-stack applications that integrate enterprise AI/ML services, including LLMs, for HR and people operations users. You will work across product, data, and security to transform practical AI use cases into production-ready solutions that streamline workflows and unlock insights.

Responsibilities include building front-end and APIs, ETL pipelines, and secure data handling, with emphasis on data

Qualifications

  • 3+ years building production web apps and services with C# and .NET.
  • 2+ years experience with jQuery, SQL, or XML.
  • Experience with SDLC and Agile methodologies.
  • Experience with cloud environments (AWS, Azure, GCP, Oracle Cloud).
  • Knowledge of AI systems architecture, AI platforms, or ML flow.
  • TS/SCI clearance with polygraph required.
  • Security+, SSCP, CISSP, CCNA, or GSEC certification.

Responsibilities

  • Design, develop, and maintain full stack applications (front end, APIs, services, data tiers).
  • Integrate with enterprise AI platforms, including LLMs and RAG pipelines for HR apps.
  • Develop HR/training software within corporate environment.
  • Build data pipelines and ETL into SQL data layer.
  • Ensure data quality, security, and RBAC across systems.
  • Tune prompts, embeddings, and vector search for AI features.
  • Collaborate with product owners to identify high-value AI use cases.

Skills

C# & .NET
jQuery/SQL/XML
SDLC & Agile
Cloud platforms
AI/ML knowledge
TS/SCI with polygraph
Security certifications

Education

Bachelor’s degree

Tools

Kubernetes
Docker
Jenkins

Job description

Booz Allen Hamilton is seeking a skilled Software Engineer to design and deliver secure, scalable full-stack applications that integrate enterprise AI/ML services, including LLMs, for HR and people operations users. You will work across product, data, and security to transform practical AI use cases into production-ready solutions that streamline workflows and unlock insights.

Responsibilities include building front-end and APIs, ETL pipelines, and secure data handling, with emphasis on data

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