AI Engineer

1 month ago

Tysons Corner, Virginia, United States LMI Consulting, LLC Full time

Overview

LMI is seeking a skilled AI Engineer to support LMI's Army account.

At LMI, we're reimagining the path from insight to outcome at The New Speed of PossibleTM. 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.

ResponsibilitiesIdentify 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 and 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
LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

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