AI Web Developer (TS/SCI CI Poly)

Seamless Migration•Chantilly, VA

1d•Onsite

About The Position

Seamless Migration is seeking a career- and customer-oriented AI Web Developer to join its team in Chantilly, Virginia. The role builds and enhances a generative AI application that streamlines business processes for a government customer. The developer uses C#/.NET, HTML5, JavaScript, Bootstrap, CSS, SQL, AWS, and Microsoft cloud services while integrating large language models (LLMs), APIs, MCP servers, and other AI capabilities. The developer designs, develops, tests, and maintains web applications incorporating generative AI; integrates AI services and tools with application functionality, data sources, and business systems; and works with developers, analysts, business analysts, UI/UX developers, subject-matter experts, and technical teams to turn business requirements into practical solutions. The role also develops and maintains APIs, backend services, and SQL solutions; deploys, monitors, and troubleshoots cloud applications; evaluates new AI models and platform capabilities; and follows program standards for security, configuration management, change control, documentation, quality assurance, and release management. An active TS/SCI clearance with CI polygraph is required before starting.

Requirements

At least two years of relevant web development or software development experience matching or relating to the listed technologies.
Experience developing, testing, and supporting web applications using HTML, JavaScript, CSS, C#/.NET, and Bootstrap.
Experience developing or integrating generative AI 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.
Active TS/SCI clearance with CI polygraph; existing clearance is required to start.

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 or Intelligence Community environments.
CompTIA Security+ certification.

Responsibilities

Design, develop, test, and maintain web applications that incorporate generative AI capabilities.
Integrate LLMs, AI services, APIs, MCP servers, and tools with application functionality, data sources, and business systems.
Collaborate with developers, analysts, business analysts, UI/UX developers, subject-matter experts, and technical teams to translate business needs and 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.