LMI - Tysons, VA

posted 3 months ago

Full-time
Remote - Tysons, VA
Professional, Scientific, and Technical Services

About the position

LMI is seeking a skilled AI Engineer to support LMI's Army account. In this role, you will be at the forefront of integrating Generative AI into business processes and applications, leveraging your expertise to identify opportunities for innovation and efficiency. The position requires a strong understanding of machine learning algorithms and the ability to design solutions that connect to various data sources. You will work closely with product designers, application developers, infrastructure engineers, and other data scientists to ensure seamless integration of large language models (LLMs) and Generative AI into web-based applications. As an AI Engineer, you will also be responsible for researching algorithms in machine learning to identify viable approaches that meet business requirements. You will become familiar with DevSecOps principles to continuously deliver high-quality software and will utilize Docker to develop and deploy containerized versions of models. Your role will involve participating in design and code reviews, collaborating with a passionate engineering team, and providing input to UX/UI designers and front-end application developers on effectively delivering model outcomes to users. Additionally, you will interface with customer stakeholders to provide technical explanations and support, ensuring that the solutions developed align with their needs and expectations.

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 (Graduate student highly preferred) in engineering, mathematics, computer science, or related technical discipline required
  • Minimum 2-years' experience with Python development
  • 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
  • Familiarity with the underlying mathematics of machine learning
  • Knowledge of data structures and data management principles, methods, and tools
  • Clearance: Active Secret

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 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
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