Role overview
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.
What you'll work on
- 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
What we're looking for
- Experience with cloud platforms like AWS, Bedrock, SageMaker, 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, PostgreSQL) or NoSQL (Mongo DB) databases
- Experience developing and consuming RESTful APIs
- Demonstrated ability to build and maintain CI/CD pipelines using tools like Jemkins, GitLab CI, CircleCI, or similar, and integrating Terraform and Ansible for automated deployments
- Experience 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 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
- Motivated and customer oriented
Tags & focus areas
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