Digital AI Development Engineer (Job ID: 4118)
About The Position
Valkyrie Enterprises has need for a Digital AI Development Engineer in Huntsville, AL In this role you will be part of our team delivering outstanding Systems Engineering for the fielded weapon system defending the United States from intercontinental missile attack in the Ground-based Midcourse Defense (GMD) Product Office, at the Missile Defense Agency (MDA). 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
Requirements
- Must have Bachelor's degree in Computer Science, Engineering, or a related STEM field
- Must have at least 3 years of related work experience.
- Must have working understanding of AI pipelines, including data processing, model deployment, and integration.
- Must have an understanding of frameworks such as LangChain, Open WebUI, and embeddings databases.
- Must have strong programming skills in Python or similar languages, with a focus on AI and data processing libraries
- Must have the ability to work independently while collaborating effectively with team members.
- Must have excellent problem-solving skills and attention to detail.
- Must have an Active Secret clearance
Nice To Haves
- Experience with cloud platforms like AWS, Bedrock, SageMaker, or Azure Foundry for AI solution deployment preferred.
- Familiarity with semantic search and recommendation systems preferred.
- Knowledge of distributed systems and scalable architectures for AI pipelines preferred.
- Experience with containerization tools like Docker and orchestration platforms like Kubernetes preferred.
- Understanding of MLOps practices for continuous integration and deployment of AI models preferred.
- Strong written and verbal communication skills to document and present technical solutions preferred.
- 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) preferred.
- Experience in designing, implementing, and managing relational (MySQL, PostgreSQL) or NoSQL (Mongo DB) databases preferred.
- Experience developing and consuming RESTful APIs preferred.
- 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 preferred.
- Experience with cloud monitoring and logging tools (such as Prometheus, Grafana, ELK Stack, CloudWatch, Azure Monitor, Google Cloud Logging) preferred.
- 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 preferred.
- Experience working in an Agile development environment and collaborating effectively with cross-functional teams preferred.
- Ability to clearly and concisely document infrastructure, configurations, and deployment processes preferred.
- Experience with Linux and/or Windows system administration preferred.
- Motivated and customer oriented preferred.
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
Benefits
- Valkyrie Enterprises provides a variety of benefits to eligible employees to support your best health, wellness, and future, to include medical/dental/vision options, company paid life and disability insurances, 401k with match, education reimbursement, as well as company paid holidays and paid time off (PTO)
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
