Digital AI Development Engineer

Overview

Digital AI Development Engineer. KODA Technologies is seeking a Digital AI Development Engineer to provide Systems Engineering Technical Assistance to the Ground-based Midcourse Dense (GMD) Product Office under the Teams-Next Missile Defense Systems Engineering (TN-MDSE) contract managed by the Missile Defense Agency.

KODA is a people-first company recognized as a five-time winner of Huntsville's Best Places to Work Award, certified as a Great Place to Work, and a Best Place for Working Parents. KODA is a small business focused on solving complex engineering problems on national-priority projects in domains such as missile defense, hypersonics, DOD space, and civil space. Our expertise spans Radar and Missile Development, Multi-Domain Operations, Flight and Ground Test Planning and Execution, Tactical Data Link Testing, Test Range Instrumentation, Systems Engineering and Integration, Model and Simulation Development, and Digital Engineering/Model-Based Systems Engineering.

The name KODA, a Native American word meaning "allies", embodies our dedication to our customers and each other. Trust and integrity guide us in all we do. We prioritize our people, support national-priority missions, and give back to our community through the KODA Cares program. We offer competitive compensation, excellent benefits, and a commitment to professional growth. Join us and learn more at

• Design and implement AI pipelines for data ingestion, processing, and model deployment using frameworks like Lang Chain 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

• Bachelor s degree in Computer Science, Engineering, or a related STEM field
• 3+ years of related work experience
• Working understanding of AI pipelines, including data processing, model deployment, and integration
• Understanding of frameworks such as Lang Chain, Open WebUI, and embeddings databases
• Strong programming skills in Python or similar languages, with a focus on AI and data processing libraries
• Ability to work independently while collaborating effectively with team members
• Excellent problem-solving skills and attention to detail

• Experience with cloud platforms like AWS, Bedrock, Sage Maker, or Azure Foundry for AI solution deployment
• 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
• Strong written and verbal communication skills to document and present technical solutions
• Solid 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, Postgre
  
  SQL) or No
  
  SQL (Mongo DB) databases
• Experience developing and consuming RESTful APIs
• Demonstrated ability to build and maintain CI/CD pipelines using tools like Jemkins, Git Lab CI, Circle
  
  CI, or similar, and integrating Terraform and Ansible for automated deployments
• Experience with cloud monitoring and logging tools (such as Prometheus, Grafana, ELK Stack, Cloud Watch, Azure Monitor, Google Cloud Logging)
• Understanding of software architecture patterns, design…