AI Engineer

1 week ago

Bloomington, Illinois, United States Logistics Management Institute Full time
AI Engineer - Generative AI Solutions Developer

At Logistics Management Institute, we're reimagining the path from insight to outcome at The New Speed of Possible. We're seeking an AI Engineer to join our team and contribute to the development of our cutting-edge generative AI platform, LIGER.

As an AI Engineer, you will work with our team to identify opportunities where Generative AI can generate business insights or improve business processes. You will research algorithms in machine learning to identify viable approaches to meet business requirements and design solutions that connect to data sources and deploy through services, such as service functions in web applications or application programming interfaces (APIs).

You will also become familiar with DevSecOps principles to continuously deliver high-quality software and work with Docker to develop and deploy containerized versions of models. Additionally, you will participate in design and code reviews, collaborate with a strong, passionate engineering team, and provide input to UX/UI designers and front-end application developers on how to effectively deliver model outcomes to users.

Qualifications for this role include a Bachelor's degree in engineering, mathematics, computer science, or a related technical discipline, as well as a minimum of 2 years of experience with Python development. Familiarity with the underlying mathematics of machine learning, knowledge of data structures and data management principles, methods, and tools, and the ability to communicate complex concepts to both technical and business-focused audiences are also required.

We're looking for a team player who is comfortable working with agile teams, developing tools and functionality in short development sprints, and using CI/CD processes and Git. If you're passionate about AI and machine learning, and have a strong desire to contribute to the development of innovative solutions, we encourage you to apply for this exciting opportunity.

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

Qualifications:

Bachelor's degree in engineering, mathematics, computer science, or a related technical discipline

Minimum 2 years of experience with Python development

Familiarity with the underlying mathematics of machine learning

Knowledge of data structures and data management principles, methods, and tools

Ability to communicate complex concepts to both technical and business-focused audiences

Clearance:
Active Secret

Preferred:
Graduate degree in engineering, mathematics, computer science, or a 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

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

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