AI Web Developer T4

CACI•Chantilly, VA

About The Position

CACI is seeking an AI Web Developer to build and enhance a generative AI (GenAI) application that streamlines business processes for a government customer. The role develops solutions using C#/.NET, HTML5, JavaScript, Bootstrap, CSS, SQL, and AWS and Microsoft cloud services, integrating large language models (LLMs), APIs, MCP servers, and other AI capabilities. The developer collaborates with developers, analysts, and subject-matter experts to turn business needs into practical AI-powered solutions. The position includes designing, developing, testing, and maintaining web applications with GenAI capabilities; integrating AI services and business systems; and developing APIs, backend services, and SQL solutions. It also involves deploying, monitoring, and troubleshooting applications using cloud services and AI platforms, evaluating new AI technologies, and following program standards for security, configuration management, change control, documentation, quality assurance, and release management.

Requirements

  • At least two years of relevant web or software development experience matching or relating to the listed technologies.
  • Active TS/SCI clearance with Polygraph.
  • Demonstrated experience developing, testing, and supporting web applications using HTML, JavaScript, CSS, C#/.NET, and Bootstrap.
  • Experience developing or integrating GenAI applications, LLM-powered interfaces, AI assistants, or other AI-enabled solutions.
  • Knowledge of AI terminology and integration approaches.
  • Experience developing or integrating web APIs, backend services, or application interfaces.
  • Experience using AWS and/or Microsoft cloud services to develop, deploy, monitor, and support cloud-based applications.
  • Strong knowledge of SQL, software development practices, coding standards, and application security, with the ability to troubleshoot technical issues and evaluate system dependencies.
  • Ability to work independently, take ownership of tasks, learn new technologies, and adapt to evolving requirements in a collaborative development environment.

Nice To Haves

  • Bachelor’s degree in Computer Science, Information Systems, Software Engineering, or a related field, or equivalent work experience.
  • Experience with AI platforms such as MS Foundry, Amazon Bedrock, Amazon SageMaker, or similar services.
  • Familiarity with MCP servers, tools, and external system integrations.
  • Experience integrating multiple LLMs or AI services through APIs or SDKs, with familiarity in prompt engineering, tool calling, or retrieval-augmented generation (RAG).
  • Python development experience.
  • Experience with containerized or serverless applications and AWS services such as Lambda, ECS, RDS, or CloudWatch.
  • Familiarity with Agile methodologies.
  • Experience supporting applications in Department of Defense (DoD) or Intelligence Community (IC) environments.
  • CompTIA Security+ certification.

Responsibilities

  • Design, develop, test, and maintain web applications that incorporate GenAI capabilities.
  • Integrate LLMs, AI services, APIs, MCP servers, and tools with application functionality, data sources, and business systems.
  • Collaborate with business analysts, UI/UX developers, subject-matter experts, and technical teams to translate requirements into effective solutions.
  • Develop and maintain web APIs, backend services, and SQL solutions for application functionality, system integration, and data exchange.
  • Use AWS, Microsoft cloud services, and AI platforms to develop, deploy, monitor, and troubleshoot applications.
  • Evaluate and incorporate new AI models, platform capabilities, and technologies to address evolving business needs.
  • Develop technical specifications, write maintainable code, perform unit testing, and troubleshoot issues across application components and integrations.
  • Follow program standards for security, configuration management, change control, documentation, quality assurance, and release management.

Benefits

  • Flexible time off benefit
  • Learning and development opportunities
  • Healthcare benefits
  • Wellness benefits
  • Financial benefits
  • Retirement benefits
  • Family support benefits
  • Continuing education benefits
  • Time off benefits
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service