What are the responsibilities and job description for the Digital AI Development Engineer position at Waypoint Human Capital?
Position Title: Digital AI Development Engineer
Position Type: Full-time, On-Site
Location: Huntsville, AL
Clearance: Active Secret
Description:
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.
Responsibilities:
Required:
Desired:
Position Type: Full-time, On-Site
Location: Huntsville, AL
Clearance: Active Secret
Description:
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.
Responsibilities:
- Design and implement AI pipelines for data ingestion, processing, and model deployment using frameworks such as LangChain 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.
Required:
- 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 LangChain, Open WebUI, and embedding databases.
- Strong programming experience in Python or similar languages, with a focus on AI and data processing libraries.
Desired:
- Experience with cloud platforms such as AWS (Bedrock, SageMaker) 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, PostgreSQL) and NoSQL (MongoDB) databases.
- Experience developing and consuming RESTful APIs.
- Experience building and maintaining CI/CD pipelines using tools such as Jenkins, GitLab CI, or similar, including automation with Terraform and Ansible.
- Experience with monitoring and logging tools such as Prometheus, Grafana, ELK Stack, CloudWatch, or Azure Monitor.
- Knowledge of software architecture patterns, cloud security principles, and application security best practices.
- Experience with Linux and/or Windows system administration.