AI Software Engineer — LLM & Full-Stack Solutions

Phase2 Technology; Aurora (CO); On-site; USD 69,000 - 158,000; Full time

Job summary

Booz Allen Hamilton is seeking an Artificial Intelligence Software Engineer to design and implement AI/ML software solutions that enhance organizational efficiency and decision-making. You will develop end-to-end AI-enabled systems, focusing on scalable, secure, full-stack capabilities and modernizing AI-driven digital engineering across the enterprise.

Join a team that applies leading-edge principles in LLM frameworks, DevSecOps, and full-stack development to solve national-scale challenges,

Qualifications

• 2+ years designing and implementing software in Agile environments.
• 1+ years working with full-stack LLM solutions, including RAG, Hugging Face, LangChain and LlamaIndex.
• Experience with LLM inference engines like vLLM and llama.cpp.
• Experience with AI-assisted coding tools.
• Full-stack development experience (RESTful APIs, Node.js, JavaScript, React).
• Experience with Agile and DevSecOps tools (GitHub Actions) to build CI/CD pipelines.
• Ability to obtain a Secret clearance.
• Bachelor's degree in a STEM field.

Responsibilities

• Develop end-to-end AI software solutions for enhanced decision-making.
• Build AI-driven digital engineering capabilities across ecosystems.
• Apply cutting-edge AI/ML principles and maintain DevSecOps practices.
• Collaborate to modernize AI-driven capabilities and future features.

Skills

Agile Methodologies

AI/ML software development

Full-stack development

Security clearance readiness

Education

Bachelor's degree in STEM field

Tools

Hugging Face

LangChain

LlamaIndex

vLLM

llama.cpp

GitHub Actions

RESTful APIs

Node.js

JavaScript

React

Job description

Booz Allen Hamilton is seeking an Artificial Intelligence Software Engineer to design and implement AI/ML software solutions that enhance organizational efficiency and decision-making. You will develop end-to-end AI-enabled systems, focusing on scalable, secure, full-stack capabilities and modernizing AI-driven digital engineering across the enterprise.

Join a team that applies leading-edge principles in LLM frameworks, DevSecOps, and full-stack development to solve national-scale challenges,