AI Developer (TS/SCI CI Poly)

Seamless Migration•Chantilly, VA

About The Position

Seamless Migration is seeking a career- and customer-oriented AI Developer to design, develop, test, and enhance a generative AI (GenAI) web application that streamlines business processes for a government customer. The role involves leading complex development efforts, influencing technical direction, and integrating large language models (LLMs), APIs, MCP servers, and other AI capabilities into secure, scalable solutions. The developer will work with C#/.NET, HTML5, JavaScript, Bootstrap, CSS, SQL, and cloud services across AWS and Microsoft platforms. The role collaborates with developers, analysts, and subject-matter experts to translate business needs into maintainable AI-powered solutions, evaluate emerging technologies, and recommend approaches that improve workflows and expand application capabilities. Responsibilities also include developing web APIs, backend services, and SQL solutions; applying GenAI techniques such as prompt engineering, tool calling, and retrieval-augmented generation (RAG); and following coding, testing, security, configuration management, documentation, and release standards.

Requirements

At least two years of relevant web development or software development experience related to the listed technologies.
Demonstrated experience developing 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 integrating multiple LLMs or AI services through APIs, SDKs, or other application integration mechanisms.
Experience with AI platforms such as Microsoft Foundry, Amazon Bedrock, Amazon SageMaker, or comparable services.
Experience developing web APIs, backend services, and SQL-based solutions.
Experience using AWS and/or Microsoft cloud services to develop, deploy, monitor, and support cloud-based applications.
Familiarity with MCP servers, tools, and integrations that connect AI capabilities to external systems.
Practical knowledge of prompt engineering, tool calling, RAG, or similar techniques for building LLM-powered applications.
Ability to evaluate technical tradeoffs, troubleshoot complex issues, and develop secure, reliable, and maintainable software.
Active TS/SCI clearance with CI Polygraph.

Nice To Haves

Bachelor's degree in Computer Science, Information Systems, Software Engineering, or a related field, or equivalent work experience.
Experience developing software with Python.
Experience with containerized or serverless architectures and cloud services such as AWS Lambda, ECS, RDS, or CloudWatch.
Familiarity with Agile methodologies, technical design reviews, and code review practices.
Experience supporting applications in Department of Defense (DoD) or Intelligence Community (IC) environments.
CompTIA Security+ certification.

Responsibilities

Design, develop, test, and enhance GenAI-enabled web application features.
Integrate LLMs, AI services, APIs, MCP servers, tools, data sources, and business systems into application workflows.
Evaluate technical approaches, recommend solutions, and troubleshoot complex performance, security, scalability, maintainability, and integration issues.
Develop and maintain web APIs, backend services, and SQL solutions for application functionality and system integration.
Use AWS, Microsoft cloud services, and AI platforms to develop, deploy, monitor, and troubleshoot applications.
Apply prompt engineering, tool calling, RAG, and other GenAI techniques to enhance application capabilities.
Collaborate with developers, analysts, and subject-matter experts to refine requirements and assess feasibility.
Conduct code reviews, maintain documentation, and follow coding, testing, security, configuration management, and release standards.