Lmi Consulting - Tysons, VA

posted 3 months ago

Full-time - Mid Level
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 reimagining the path from insight to outcome, leveraging over 60 years of federal expertise combined with an innovation ecosystem. The goal is to minimize time to value and accelerate mission success by energizing the brightest minds with emerging technologies. You will be responsible for identifying opportunities where Generative AI can generate business insights or improve business processes, working collaboratively with product designers, application developers, infrastructure engineers, and other data scientists to integrate large language models (LLMs) and Generative AI with web-based applications. Your responsibilities will also include researching algorithms in machine learning to identify viable approaches to meet business requirements, designing solutions that connect to data sources, and deploying these solutions through services such as service functions in web applications or application programming interfaces (APIs). Familiarity with DevSecOps principles will be essential as you continuously deliver high-quality software. You will work with Docker to develop and deploy containerized versions of models, participate in design and code reviews, and collaborate with a passionate engineering team. Additionally, you will provide input to UX/UI designers and front-end application developers on effectively delivering model outcomes to users and interface with customer stakeholders to provide technical explanations and support.

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 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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