AI Engineer - LLMs - Clearance Required
Tysons, VA, United States
Applications have closed
Logistics Management Institute
LMI provides advanced technology solutions, delivering innovative tech and consulting services for government agencies. Learn about our integrated solutions.Overview
Join our Ā cutting-edge generative AI (GenAI) platform,Ā LIGERā¢, created by its technology studio, LMIĀ 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.
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At LMI, weāre reimagining the path from insight to outcome at The New Speed of Possibleā¢. 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.Ā
Responsibilities
- Identify opportunities where Generative AI can generate business insights or improve business processesĀ
- Work with product designers, application developers, infrastructure engineers, and other data scientists to integrate LLMs and Generative AI with web-based applicationsĀ
- Research algorithms in machine learning to identify viable approaches to meet business requirementsĀ
- Design solutions that connect to data sources and deploy through services, such as service functions in web applications or application programming interfaces (APIs)Ā
- Become familiar with DevSecOps principles to continuously deliver high-quality softwareĀ
- Work with Docker to develop and deploy containerized versions of modelsĀ
- Participate in design and code reviews, and collaborate with a strong, passionate engineering teamĀ
- Provide input to UX/UI designers and front-end application developers on how to effectively deliver model outcomes to usersĀ
- Interface with customer stakeholders to provide technical explanations and supportĀ
Qualifications
Minimum:Ā
- Bachelor's degree (Graduate student highly preferred) in engineering, mathematics, computer science, or related technical discipline required.Ā
- Comfortable working with agile teams, developing tools and functionality in short development sprintsĀ
- Comfortable using CI/CD processes and GitĀ
- Ability to think critically to propose tractable solutions to complex problemsĀ
- Effective written and verbal communication skillsĀ
- Ability to communicate complex concepts to both technical and business-focused audiencesĀ
- Minimum 2-yearsā experience with Python developmentĀ
- Familiarity with the underlying mathematics of machine learningĀ
- Knowledge of data structures and data management principles, methods, and toolsĀ
- Clearance: Active SecretĀ
Preferred:Ā
- Graduate degree in engineering, mathematics, computer science, or related technical disciplineĀ
- Experience using industry guidelines and best practices for developing software including GitLab, Docker, and automated deployments.Ā Ā
- 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.jsĀ
- Ability to consume or interface with cloud computing and storage services, including Amazon Web Services (AWS), Microsoft Azure, or Google CloudĀ
- Familiarity or desire to become familiar with containerization technologies, such as Docker, Kubernetes, Amazon Elastic Container Service (ECS), and Amazon Elastic Kubernetes Service (EKS)Ā
- Experience building tools using Large Language Models, Retrieval-Augmented Generation, Embedding Models, and Prompt EngineeringĀ
- Knowledge of the Army software development process and its technologiesĀ
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#LIGER
* Salary range is an estimate based on our AI, ML, Data Science Salary Index š°
Tags: Agile Angular APIs AWS Azure CI/CD Computer Science Data Analytics Data management Docker ECS Engineering GCP Generative AI Git GitLab Google Cloud Kubernetes LLMs Machine Learning Mathematics NLP Node.js Prompt engineering Python RAG React Research UX
Perks/benefits: Career development
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