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 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:

• 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 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

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