AI Software Developer or AI Data Pipeline Engineer(TS Cleared) -Direct Hire - Fully remote/ DMV Location

We are seeking a highly motivated Senior AI Software Developer to join our client's team. The Senior AI Software Developer will bring a strong technical and analytical mindset required to engineer effective solutions and will assist in developing a new AI data modernization capability in an AWS cloud solutions environment, using both Cloud and Server hosted technologies.

Responsibilities include, but are not limited to:
- Development and integration of software and systems engineering in support of integrating model context protocol (MCP) servers.
- Code data pipelines using tools such as LangChain, Granite-Docling, and langextract to extract text, and images metadata and metadata definitions from data.
- Mapping Metadata and metadata
- Supporting Machine Learning and Artificial Intelligence development. Designing and coding new software and/or modifying existing software to add new features, debug or improve existing software, and correct defects.
- Testing and maintaining software products to ensure strong functionality and optimization.
- Troubleshooting complex software issues.
- Designing and developing applications and system integrations in HTML, JavaScript, Java, Python, XML, and/or JSON.
- Developing solutions to integrate COTS and GOTS services utilizing APIs, JDBC, RPC using tools such as Spring Boot, Apache Nifi, AWS Glu, and service chaining to enable applications to exchange/share data regardless of the specific technology utilized.
- Providing design, coding, testing and validating programs that solve engineering-related problems.
- Minor Configuring, administering, and supporting server environments in AWS.
Performing root cause analysis and providing mitigation strategies.
- Reviewing and testing software components for adherence to the design requirements and documenting test results.
- Working with developers and engineers to define customer and system requirements and develop solutions and system designs that will scale to meet future enterprise-level requirements.
- Securely integrating APIs and transforming and loading data between endpoints.
- Ensuring connectivity with APIs, applications, cloud technology, and data sources.
- Integrating services together and writing new services, as needed.
- Documenting application settings and configuration parameters necessary for applications to perform reliably and effectively.

This position is a full-time employment opportunity with our client, who recently was awarded the opportunity to build an AI prototype for their government client. This is an exciting opportunity to lead the charge for a cutting-edge government AI related project.

Required Qualifications:
Must be able to pass a Counterintelligence (CI) Polygraph (current CI Polygraph a plus).
- Extensive Machine Learning and Artificial Intelligence development
- Experience in Code data pipelines using tools such as LangChain, Granite-Docling, and langextract to extract text, and images metadata and metadata definitions from data.
- Extensive experience working with APIs in JavaScript, Python, Java, XML, JSON, and HTML.
- Experience working with SSL, x509, Token based auth.

- Education Qualifications: A bachelor's degree or equivalent in Computer Science, Engineering, Physics, Mathematics and Business Administration (ideally awarded after 2000). A bachelor's degree may be replaced an additional 4 years of directly related experience.

Years of Experience:
- Bachelor's degree and 12+ years of relevant experience,-including at least five years of experience working in the Intelligence Community.
- HS diploma and 16+ years of relevant experience,-including at least five years of experience working in the Intelligence Community.

Desired Qualifications:
- Experience using APIs in cloud (AWS) environment.
- Experience with a wide variety of tools and techniques such as Spring Boot, NiFi, AWS Lambda, Git, REST APIs, etc.
- Experience with ontologies and ontology formats (OWL, TTL)
- Experience with Functional Testing, Security, Integration Testing, System Acceptance Testing, and User Acceptance Testing phases.
- Ability to plan and conduct major technical phases of data management projects by coordinating the implementation and oversight of data management frameworks.