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 a best-in-class 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 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
  
  

Required Qualifications

• US citizenship and an active secret level security clearance is required.
• 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
  
  

Desired Qualifications

• 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