Digital AI Development Engineer

MTSI is looking for a talented Digital AI Development Engineer to join our team! In this role you will be part of our team providing 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.

Job Responsibilities:

· 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

Required Qualifications:

· 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
· US Citizenship and an Active Secret Clearance
· 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 Desired

Qualifications:

· 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 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 #LI-JJ1