AI Software Engineer: End-to-End ML Solutions

Booz Allen Hamilton; El Segundo (CA); On-site; USD 69,000 - 158,000; Full time

Job summary

Booz Allen Hamilton in El Segundo, CA is seeking an Artificial Intelligence Software Engineer to design and deliver AI and ML solutions that increase efficiency and enable better decision-making. The role emphasizes end-to-end development, LLM workflows, RAG, and full-stack capabilities using Node.js, React, and RESTful APIs, with adherence to DevSecOps practices.

Candidates should have 2+ years of Agile software work, experience with LLM frameworks, and the ability to obtain a Secret clearance;

Qualifications

• 2+ years of experience designing, modifying, developing, and implementing software using Agile methods.
• 1+ years of experience with full-stack LLM solutions, including RAG, model selection, and tools like HuggingFace; LangChain and LlamaIndex usage.
• Experience with LLM inference engines such as vLLM and llama.cpp.
• Experience with AI-assisted coding tools to improve software development processes.
• Experience with full-stack development, including RESTful APIs, Node.js, JavaScript, and React.
• Experience with Agile and DevSecOps tools such as GitHub Actions for CI/CD.
• Ability to obtain a Secret security clearance.
• Bachelor's degree in a STEM field.

Responsibilities

• Develop AI software solutions that modernize AI-driven digital engineering capabilities.
• Create end-to-end AI/ML systems considering the broader ecosystem and future enhancements.
• Apply architectural principles to integrate LLM frameworks and DevSecOps across projects.

Skills

Agile methodology

LLM full-stack integration

LLM inference engines

AI-assisted coding

Full-stack development

CI/CD with GitHub Actions

Security clearance

Education

Bachelor's degree in STEM

Tools

Hugging Face

LangChain

LlamaIndex

vLLM

llama.cpp

GitHub Actions

Job description

Booz Allen Hamilton in El Segundo, CA is seeking an Artificial Intelligence Software Engineer to design and deliver AI and ML solutions that increase efficiency and enable better decision-making. The role emphasizes end-to-end development, LLM workflows, RAG, and full-stack capabilities using Node.js, React, and RESTful APIs, with adherence to DevSecOps practices.

Candidates should have 2+ years of Agile software work, experience with LLM frameworks, and the ability to obtain a Secret clearance;