Today
Top Secret/SCI
Senior Level Career (10+ yrs experience)
CI Polygraph
IT - Software
Reston, VA (On/Off-Site)
The Red Gate Group is seeking an experienced Full Stack Developer to support the Defense Intelligence Agency (DIA) in Reston, VA. This role requires a highly skilled developer with a strong background in agile software development, system architecture, and data-driven applications. As a Subject Matter Expert (SME) in information technology, you will play a crucial role in designing, developing, and implementing moderately complex to highly complex software solutions that support mission-critical intelligence operations.
In this position, you will work closely with data scientists, AI researchers, and product teams, leveraging modern development frameworks, machine learning models, and DevOps best practices to build scalable, secure, and high-performance applications for the intelligence community.
Key Responsibilities:
AI Application Development:
Design and implement AI-driven applications, integrating machine learning models and AI algorithms into full-stack web applications.
Develop user-facing features (front-end) using modern web technologies (e.g., React, Vue.js, Angular).
Implement back-end services (using Node.js, Python, Java, etc.) that integrate with machine learning models, APIs, and databases.
Build and deploy AI/ML models, ensuring their seamless integration into production environments for optimal performance.
Machine Learning Model Integration:
Collaborate with data scientists and AI researchers to integrate pre-trained AI models into production-ready applications.
Ensure scalability and reliability of AI models in cloud environments (AWS, GCP, Azure).
Monitor and improve AI model performance, ensuring accurate and reliable outputs.
API & Database Management:
Develop and maintain RESTful APIs to facilitate communication between AI models, front-end interfaces, and databases.
Design and manage relational and non-relational databases (SQL, MongoDB) to store, query, and manage data effectively.
Implement security measures to protect AI models and sensitive data.
End-to-End Development & Deployment:
Implement DevOps best practices for CI/CD pipelines, automating the testing and deployment of AI-powered applications.
Ensure applications are scalable, secure, and optimized for performance across all layers of the tech stack.
Conduct performance tuning and debugging to improve application reliability and efficiency.
Collaboration & Communication:
Work closely with developers, data scientists, AI researchers, and product managers to define and understand application requirements.
Participate in agile development cycles, including sprint planning, daily stand-ups, and retrospectives.
Provide technical leadership, guidance, and mentorship to junior developers as needed.
Testing & Quality Assurance:
Develop unit, integration, and end-to-end tests for both front-end and back-end code, ensuring high software quality.
Write automated tests to validate AI models' outputs, ensuring accuracy and minimizing production errors.
Qualifications
Required Qualifications:
10+ years of experience in software development with expertise in front-end and back-end technologies
Active TS/SCI (willingness to take CI Poly)
Proven experience working with AI/ML technologies and frameworks (e.g., TensorFlow, PyTorch, Keras, Scikit-learn).
Strong experience in both front-end (React, Angular, Vue.js) and back-end (Node.js, Python, Java, etc.) development
Experience with cloud platforms (AWS, Google Cloud, Azure) for deploying AI applications
Strong proficiency in JavaScript, HTML, CSS, and modern front-end frameworks (React, Vue.js, Angular
Knowledge of Docker, Kubernetes, and CI/CD pipelines for deploying scalable applications
Strong understanding of software development best practices, including version control (Git), code review, and testing
Familiarity with databases (SQL, NoSQL) and API development (RESTful APIs).
In this position, you will work closely with data scientists, AI researchers, and product teams, leveraging modern development frameworks, machine learning models, and DevOps best practices to build scalable, secure, and high-performance applications for the intelligence community.
Key Responsibilities:
AI Application Development:
Design and implement AI-driven applications, integrating machine learning models and AI algorithms into full-stack web applications.
Develop user-facing features (front-end) using modern web technologies (e.g., React, Vue.js, Angular).
Implement back-end services (using Node.js, Python, Java, etc.) that integrate with machine learning models, APIs, and databases.
Build and deploy AI/ML models, ensuring their seamless integration into production environments for optimal performance.
Machine Learning Model Integration:
Collaborate with data scientists and AI researchers to integrate pre-trained AI models into production-ready applications.
Ensure scalability and reliability of AI models in cloud environments (AWS, GCP, Azure).
Monitor and improve AI model performance, ensuring accurate and reliable outputs.
API & Database Management:
Develop and maintain RESTful APIs to facilitate communication between AI models, front-end interfaces, and databases.
Design and manage relational and non-relational databases (SQL, MongoDB) to store, query, and manage data effectively.
Implement security measures to protect AI models and sensitive data.
End-to-End Development & Deployment:
Implement DevOps best practices for CI/CD pipelines, automating the testing and deployment of AI-powered applications.
Ensure applications are scalable, secure, and optimized for performance across all layers of the tech stack.
Conduct performance tuning and debugging to improve application reliability and efficiency.
Collaboration & Communication:
Work closely with developers, data scientists, AI researchers, and product managers to define and understand application requirements.
Participate in agile development cycles, including sprint planning, daily stand-ups, and retrospectives.
Provide technical leadership, guidance, and mentorship to junior developers as needed.
Testing & Quality Assurance:
Develop unit, integration, and end-to-end tests for both front-end and back-end code, ensuring high software quality.
Write automated tests to validate AI models' outputs, ensuring accuracy and minimizing production errors.
Qualifications
Required Qualifications:
10+ years of experience in software development with expertise in front-end and back-end technologies
Active TS/SCI (willingness to take CI Poly)
Proven experience working with AI/ML technologies and frameworks (e.g., TensorFlow, PyTorch, Keras, Scikit-learn).
Strong experience in both front-end (React, Angular, Vue.js) and back-end (Node.js, Python, Java, etc.) development
Experience with cloud platforms (AWS, Google Cloud, Azure) for deploying AI applications
Strong proficiency in JavaScript, HTML, CSS, and modern front-end frameworks (React, Vue.js, Angular
Knowledge of Docker, Kubernetes, and CI/CD pipelines for deploying scalable applications
Strong understanding of software development best practices, including version control (Git), code review, and testing
Familiarity with databases (SQL, NoSQL) and API development (RESTful APIs).
group id: 10349707
