> Markdown version of [/jobs/ext/4301613-artificial-intelligence-software-engineer](https://www.wearedevelopers.com/jobs/ext/4301613-artificial-intelligence-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Artificial Intelligence Software Engineer - **Company:** Booz Allen Hamilton Inc. - **Location:** Aurora, CO, United States (Remote available) - **Salary:** $69,400.0 - $158,000.0 - **Contract:** Internship / Graduate position - **Skills:** JavaScript (Programming Language), Agile Methodology, Artificial Intelligence, Amazon Web Services, Systems Engineering, Microsoft Azure, Cloud Computing, CompTIA Security+, Cursor, Github, MATLAB, Node.Js, Rhapsody, Software Engineering, Google Cloud, MagicDraw, Cloud Platform System, DevOps Tools - Open-source, ReactJS, Retrieval-Augmented Generation, Large Language Models, Model Validation, Llamaindex, SC Clearance, Restful APIs, Model Context Protocol, Model Inference, GPT, Teamcenter (Software) - **Published:** October 12, 2026 - **Apply:** https://careers.boozallen.com/jobs/JobDetail?jobId=129172 ## About the Role * 2+ years of experience designing, modifying, developing, writing, and implementing software programming applications using methods such as Agile * 1+ years of experience working with full-stack LLM solutions, including RAG implementation, model selection, registry management, or LLM frameworks such as LangChain or LlamaIndex, or using embedding models or vector databases * Experience with LLM inference engines * Experience with Cursor or AI-assisted coding tools to enhance software or digital engineering development processes * Experience with full-stack development, including RESTFul APIs, Node.js, JavaScript, or React * Knowledge of Agile methodology and DevSecOps tools such as GitHub Actions, to build and manage CI/CD pipelines * Ability to obtain a Secret clearance * Bachelor's degree Nice If You Have: * Experience implementing and utilizing Model Context Protocol (MCP) in software 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, ModelCenter, or TeamCenter * Experience with cloud computing platforms such as AWS, Azure, or GCP * Experience with software product testing and QA/QC * Experience with LLM inference engines such as vLLM and llama.cpp * Master's degree * Industry Certifications such as OCSMP, ASEP, GCP, Azure, AWS, and Security+ Certifications Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.