Digital AI Development Engineer with Security Clearance

Overview

Astrion is dedicated to advancing missile defense technologies under the guidance of the Missile Defense Agency (MDA). We are seeking a Digital AI Development Engineer to join our team at Redstone Arsenal, Huntsville, Alabama.

Required Qualifications / Skills

• Education: Bachelor's degree in a STEM-related field
• Experience: 3+ years of relevant experience
• Clearance: Active DoD Secret security clearance, requiring US citizenship
• Skills: Working understanding of AI pipelines, strong programming skills in Python or similar languages, proficiency in Microsoft Office

Prioritized Qualifications / Skills

• Experience with cloud platforms like AWS, Bedrock, SageMaker, or Azure Foundry
• Understanding of frameworks such as LangChain, Open WebUI, and embeddings databases
• Familiarity with semantic search and recommendation systems
• Knowledge of distributed systems and scalable architectures for AI pipelines
• Experience with containerization tools like Docker and orchestration platforms like Kubernetes
• Understanding of MLOps practices for continuous integration and deployment of AI models
• Solid understanding of full-stack development principles, including front-end technologies and back-end technologies
• Experience with relational (MySQL, PostgreSQL) or NoSQL (Mongo DB) databases
• Experience developing and consuming RESTful APIs
• Experience with CI/CD pipelines using tools like Jenkins, GitLab CI, CircleCI, or similar
• Experience with cloud monitoring and logging tools (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 applications
• Strong troubleshooting and problem-solving skills across the entire technology stack
• Experience working in an Agile development environment and collaborating effectively with cross-functional teams
• Ability to clearly and concisely document infrastructure, configurations, and deployment processes
• Experience with Linux and/or Windows system administration

Responsibilities

• Design and implement AI pipelines for data ingestion, processing, and model deployment using frameworks like LangChain and Open WebUI
• Develop and manage embeddings databases to support semantic search, recommendation systems, and other AI-driven applications
• Integrate AI solutions with cloud platforms such as Azure Foundry to ensure scalability, reliability, and security
• Collaborate with cross-functional teams to identify requirements and deliver AI solutions tailored to business needs
• Optimize AI workflows for performance and efficiency, ensuring seamless integration with existing systems
• Stay updated on the latest advancements in AI tools, frameworks, and methodologies to continuously improve pipeline performance
• Document processes, workflows, and best practices for AI pipeline development and maintenance