Digital AI Development Engineer

Job DescriptionJob DescriptionOverviewDigital AI Development EngineerJob Location: Huntsville, AlabamaJob Status: Full TimeClearance: Active SecretAt Astrion, we are at the forefront of new missile defense technologies and engaged with the Missile Defense Agency’s (MDA) rigorous engineering efforts to develop and deploy a layered Missile Defense System (MDS). This exciting, rewarding work helps guarantee the security of the United States, deployed forces, and allies. Join a professional team of highly qualified engineers, analysts, scientists and technicians supporting the research, development, testing and evaluation of the missile defense system whose purpose is to detect, track, engage and destroy adversary missiles.Your typical day – Our MDA analysts and engineers work in modern, well-appointed government facilities at Redstone Arsenal.

Redstone is located in Huntsville, Alabama, otherwise known as “Rocket City.” Huntsville is the hub of missile and space research and development. You will collaborate with other missile defense experts – military, government civilians, and contractors from Astrion and other companies. Our team of experts helps the Government manage planning, development and delivery of state-of-the art sensors, weapons, communications, and command/control systems.What are your specific duties? - The Digital AI Development Engineer will support the MDA Ground-based Midcourse Dense (GMD) Product Office.

The candidate will provide technical and advisory assistance to GMD by aiding in design, implementation, and management of AI solutions.REQUIRED QUALIFICATIONS / SKILLSEducation: Bachelor’s degree in a STEM related fieldExperience: 3+ years of relevant experienceActive DoD Secret security clearance, which requires US CitizenshipWorking understanding of AI pipelines, including data processing, model deployment, and integrationStrong programming skills in Python or similar languages, with a focus on AI and data processing librariesAbility to work independently while collaborating effectively with team members.Excellent problem-solving skills and attention to detailProficiency in Microsoft Office (Word, Excel and PowerPoint)PREFERRED QUALIFICATIONS / SKILLSExperience with cloud platforms like AWS, Bedrock, SageMaker, or Azure Foundry for AI solution deploymentUnderstanding of frameworks such as LangChain, Open WebUI, and embeddings databasesFamiliarity with semantic search and recommendation systemsKnowledge of distributed systems and scalable architectures for AI pipelinesExperience with containerization tools like Docker and orchestration platforms like KubernetesUnderstanding of MLOps practices for continuous integration and deployment of AI modelsSolid understanding of full-stack development principles, including front-end technologies (HTML, CSS, JavaScript, React, Angular, or Vue.js) and back-end technologies (Python, Node.js, Java, Go) with relevant frameworks (Django, Express.js, Spring Boot, Gin)Experience in designing, implementing, and managing relational (MySQL, PostgreSQL) or NoSQL (Mongo DB) databasesExperience developing and consuming RESTful APIsDemonstrated ability to build and maintain CI/CD pipelines using tools like Jemkins, GitLab CI, CircleCI, or similar, and integrating Terraform and Ansible for automated deploymentsExperience with cloud monitoring and logging tools (such as Prometheus, Grafana, ELK Stack, CloudWatch, Azure Monitor, Google Cloud Logging)Understanding of software architecture patterns, design principles, and security best practices for cloud environments and web applicationsStrong troubleshooting and problem-solving skills across the entire technology stackExperience working in an Agile development environment and collaborating effectively with cross-functional teamsAbility to clearly and concisely document infrastructure, configurations, and deployment processesExperience with Linux and/or Windows system administrationRESPONSIBILITIESDesign and implement AI pipelines for data ingestion, processing, and model deployment using frameworks like LangChain and Open WebUIDevelop and manage embeddings databases to support semantic search, recommendation systems, and other AI-driven applicationsIntegrate AI solutions with cloud platforms such as Azure Foundry to ensure scalability, reliability, and securityCollaborate with cross-functional teams to identify requirements and deliver AI solutions tailored to business needsOptimize AI workflows for performance and efficiency, ensuring seamless integration with existing systemsStay updated on the latest advancements in AI tools, frameworks, and methodologies to continuously improve pipeline performanceDocument processes, workflows, and best practices for AI pipeline development and maintenance#CJ