AI Engineer - LLMs - Clearance Required

LMI - Tysons, VA

Full-time - Mid Level

Remote - Tysons, VA

Professional, Scientific, and Technical Services

About the position

The AI Engineer position focuses on leveraging Generative AI and Large Language Models (LLMs) to enhance business insights and improve processes within a cutting-edge generative AI platform, LIGER™, developed by LMI. The role involves collaboration with various teams to integrate AI solutions into web applications, ensuring high-quality software delivery while adhering to DevSecOps principles.

Responsibilities

• Identify opportunities where Generative AI can generate business insights or improve business processes
• Work with product designers, application developers, infrastructure engineers, and other data scientists to integrate LLMs and Generative AI with web-based applications
• Research algorithms in machine learning to identify viable approaches to meet business requirements
• Design solutions that connect to data sources and deploy through services, such as service functions in web applications or application programming interfaces (APIs)
• Become familiar with DevSecOps principles to continuously deliver high-quality software
• Work with Docker to develop and deploy containerized versions of models
• Participate in design and code reviews, and collaborate with a strong, passionate engineering team
• Provide input to UX/UI designers and front-end application developers on how to effectively deliver model outcomes to users
• Interface with customer stakeholders to provide technical explanations and support

Requirements

• Bachelor's degree in engineering, mathematics, computer science, or related technical discipline required
• Minimum 2-years' experience with Python development
• Comfortable working with agile teams, developing tools and functionality in short development sprints
• Comfortable using CI/CD processes and Git
• Ability to think critically to propose tractable solutions to complex problems
• Effective written and verbal communication skills
• Ability to communicate complex concepts to both technical and business-focused audiences
• Familiarity with the underlying mathematics of machine learning
• Knowledge of data structures and data management principles, methods, and tools
• Clearance: Active Secret

Nice-to-haves

• Graduate degree in engineering, mathematics, computer science, or related technical discipline
• Experience using industry guidelines and best practices for developing software including GitLab, Docker, and automated deployments
• Ability to collaborate with a team that develops applications using web development frameworks, such as Angular (1.x/2+), React, and Ember, and server frameworks, such as Node.js and Express.js
• Ability to consume or interface with cloud computing and storage services, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud
• Familiarity or desire to become familiar with containerization technologies, such as Docker, Kubernetes, Amazon Elastic Container Service (ECS), and Amazon Elastic Kubernetes Service (EKS)
• Experience building tools using Large Language Models, Retrieval-Augmented Generation, Embedding Models, and Prompt Engineering
• Knowledge of the Army software development process and its technologies