Senior AI Engineer – GenAI & Modernization (Onsite)

LCG Inc.

Rockville (MD)

On-site

USD 100,000 - 130,000

Full time

14 days+

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Job summary

LCG Inc. is seeking an AI Engineer to support NIH modernization, focusing on AI-assisted development, codebase intelligence, and enterprise workflows. You will leverage tools like GitHub Copilot and LLMs to boost developer productivity and reduce technical debt across Java and .NET applications.

The role collaborates with development teams, DevSecOps, and stakeholders to scale AI use cases in alignment with the modernization roadmap and NIH guidelines.

Qualifications

  • Bachelor’s degree or higher in a technical field.
  • 5+ years in software engineering, data engineering, or related roles.
  • Hands-on experience with AI/ML or Generative AI tools.
  • Strong programming in Python, Java, or .NET.
  • Experience integrating APIs and third‑party platforms.

Responsibilities

  • Implement and operationalize AI-assisted development tools across engineering teams.
  • Index repositories to enable natural language queries across legacy systems.
  • Support AI-driven code refactoring and modernization of Java and .NET apps.
  • Design and implement AI-driven solutions like code analysis, requirements extraction, and test generation.
  • Integrate AI capabilities with enterprise platforms via APIs and standards (e.g., MCP).
  • Develop AI-powered assistants for operational and research workflows.

Skills

Python
Java
.NET
APIs
SDLC

Education

Bachelor’s degree in Computer Science, AI, Data Science, Engineering, or related field

Tools

GitHub Copilot
AWS SageMaker
ServiceNow
SharePoint
Power BI

Job description

LCG Inc. is seeking an AI Engineer to support NIH modernization, focusing on AI-assisted development, codebase intelligence, and enterprise workflows. You will leverage tools like GitHub Copilot and LLMs to boost developer productivity and reduce technical debt across Java and .NET applications.

The role collaborates with development teams, DevSecOps, and stakeholders to scale AI use cases in alignment with the modernization roadmap and NIH guidelines.

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