Digital AI Development Engineer

Position Title

Digital AI Development Engineer

Position Type:
Full-time, On-Site

Location:

Huntsville, AL

Clearance:
Active Secret

Waypoint’s client is seeking a Digital AI Development Engineer to support advanced AI and data-driven solution development within a missile defense environment. This role supports Systems Engineering Technical Assistance efforts to a Missile Defense Agency program office, focusing on the design, implementation, and optimization of AI pipelines and scalable data solutions.

The selected candidate will contribute to the development of AI‑enabled systems, integrating modern frameworks, cloud technologies, and data architectures to support mission‑critical capabilities.

• Design and implement AI pipelines for data ingestion, processing, and model deployment using frameworks such as Lang Chain and Open WebUI.
• Develop and manage embedding databases to support semantic search, recommendation systems, and 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 define requirements and deliver AI‑driven capabilities.
• Optimize AI workflows for performance, scalability, and integration with existing systems.
• Maintain and improve AI pipeline performance by leveraging emerging tools, frameworks, and methodologies.
• Document AI workflows, architectures, and best practices for development and sustainment.

• Active Secret clearance.
• Bachelor’s degree in Computer Science, Engineering, or a related STEM field.
• 3+ years of relevant experience supporting AI, data engineering, or software development efforts.
• Working knowledge of AI pipelines, including data processing, model deployment, and system integration.
• Experience with frameworks such as Lang Chain, Open WebUI, and embedding databases.
• Strong programming experience in Python or similar languages, with a focus on AI and data processing libraries.

• Experience with cloud platforms such as AWS (Bedrock, Sage Maker) or Azure Foundry for AI deployment.
• Experience with semantic search, recommendation systems, and AI‑driven data applications.
• Knowledge of distributed systems and scalable AI architectures.
• Experience with containerization (Docker) and orchestration tools such as Kubernetes.
• Experience with MLOps practices, including CI/CD pipelines for AI model deployment.
• Experience with full‑stack development technologies, including HTML, CSS, JavaScript (React, Angular, Vue) and backend frameworks such as Django, Node.js, Spring Boot, or Go.
• Experience designing and managing relational (MySQL, Postgre
  
  SQL) and No
  
  SQL (Mongo
  
  DB) databases.
• Experience developing and consuming RESTful APIs.
• Experience building and maintaining CI/CD pipelines using tools such as Jenkins, Git Lab CI, or similar, including automation with Terraform and Ansible.
• Experience with monitoring and logging tools such as Prometheus, Grafana, ELK Stack, Cloud Watch, or Azure Monitor.
• Knowledge of software architecture patterns, cloud security principles, and application security best practices.
• Experience with Linux and/or Windows system administration.