OneMain Financial Jobs

Digital AI Development Engineer

Company Overview:

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 atwww.kodatech.com.

Position Overview:

KODA Technologies is seeking a

Digital AI Development Engineerto d

esign and implement AI pipelines for data ingestion, processing, and model deployment using frameworks like LangChain and Open WebUI. You'll u

tilize cutting-edge AI techniques and cloud platforms like AWS, Bedrock, SageMaker, or Azure Foundry for AI solution deployment as part of

being on the forefront of 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 Be Doing:

• 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 Required Skills You'll Bring:

• 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 LangChain, 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

What Desired Skills You'll Bring:

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 bac -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