Digital AI Development Engineer

Modern Technology Solutions IncHuntsville, AL
14h

About The Position

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.

Requirements

  • 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

Nice To Haves

  • 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

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
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