AI Engineer - LLMs - Clearance Required

Lmi Consulting - Tysons, VA

Full-time

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 processes and generate insights. The role involves collaboration with various teams to integrate AI solutions into web applications, ensuring high-quality software delivery through DevSecOps practices. The engineer will also engage with stakeholders to provide technical support and contribute to the design and development of innovative AI-driven solutions.

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
• Familiarity with the underlying mathematics of machine learning
• Knowledge of data structures and data management principles, methods, and tools
• 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

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 Git Lab, 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