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# Artificial Intelligence Software Engineer

- **Company:** Booz Allen Hamilton Inc.
- **Location:** United States
- **Salary:** $69,400.0 - $158,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Systems Engineering, Microsoft Azure, Cloud Computing, Cursor (Graphical User Interface Elements), Linux, Github, MATLAB, Node.Js, Rhapsody, Google Cloud, MagicDraw, Cloud Platform System, DevOps Tools - Open-source, ReactJS, Large Language Models, Model Validation, SC Clearance, HuggingFace, Restful APIs, GPT
- **Published:** August 21, 2026
- **Apply:** https://www.dice.com/job-detail/5589a371-893d-413a-a434-f1b222c50907

## About the Role

* 2+ years of experience designing, modifying, developing, writing, and implementing sof tware programming applications using Agile met hods
 * 1+ years of experience working with a full-stack LLM solutions, including RAG implementation, model selection or registry management such as Hugging Face, and LLM frameworks such as LangChain and LlamaIndex, and using embedding models and vector databases
 * Experience with LLM inference engines such as vLLM and llama.cpp
 * Experience with Cursor or AI-assisted coding tools to enhance sof tware or digital engineering development processes
 * Experience with full-stack development, including RESTFul APIs, Node.js, JavaScript, and React
 * Experience with Agile met hodology and DevSecOps tools such as GitHub Actions, to build and manage CI / CD pipelines
 * Ability to obtain a Secret clearance
 * Bachelor's degree in a STEM field

Nice If You Have:

 * Experience implementing and utilizing Model Context Protocol ( MCP ) in sof tware or digital engineering projects to enable seamless model interoperability and context management
 * Experience performing systems engineering analysis and developing systems engineering products for government or mission critical systems, including NASA or the DoW
 * Experience with Model-Based Systems Engineering ( MBSE ) development, including using digital engineering tools such as Cameo, MagicDraw, SparxEA, DOORS, and IBM Rhapsody
 * Experience with MagicDraw plug-in development and Teamwork Cloud ( TWC ) administration
 * Experience with MATLAB, STK, Model Center , or Team Center
 * Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform
 * Experience with sof tware product testing and QA / QC
 * Experience with Linux
 * Master's degree in Engineering
 * Industry Certification s such as OCSMP, ASEP, Google Cloud Platform, Azure, AWS, and Security+ Certification s

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information .



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