Logistics Management Institute
AI Engineer - LLMs - Clearance Required
Logistics Management Institute, Mc Lean, Virginia, us, 22107
OverviewJoin our
cutting-edge generative AI (GenAI) platform, LIGER™, created by its technology studio, LMI Forge. LIGER™ harnesses the power of advanced technology, data analytics, and the latest in machine learning and natural language processing to provide secure, private, and trustworthy GenAI solutions for government.
At LMI, we’re reimagining the path from insight to outcome at The New Speed of Possible™. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs.
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
QualificationsMinimum :
Bachelor's degree (Graduate student highly preferred) in engineering, mathematics, computer science, or related technical discipline required.
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
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
Clearance:
Active Secret
Preferred:
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
#LIGER
cutting-edge generative AI (GenAI) platform, LIGER™, created by its technology studio, LMI Forge. LIGER™ harnesses the power of advanced technology, data analytics, and the latest in machine learning and natural language processing to provide secure, private, and trustworthy GenAI solutions for government.
At LMI, we’re reimagining the path from insight to outcome at The New Speed of Possible™. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs.
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
QualificationsMinimum :
Bachelor's degree (Graduate student highly preferred) in engineering, mathematics, computer science, or related technical discipline required.
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
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
Clearance:
Active Secret
Preferred:
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
#LIGER