Digital AI Development Engineer

Chenega Corporation•Huntsville, AL

About The Position

Digital AI Development Engineer Redstone Arsenal, AL Are you ready to enhance your skills and build your career in a rapidly evolving business climate? Are you looking for a career where professional development is embedded in your employer’s core culture? If so, Chenega Military, Intelligence & Operations Support (MIOS) could be the place for you! Join our team of professionals who support large-scale government operations by leveraging cutting-edge technology and take your career to the next level! Our Strength Is Our People We believe taking care of our employees will deliver the best support to our customers and our community. Our success is attributable to our employees. We recruit and retain civic-minded people who fit our family-oriented small business culture. Valued people deliver the highest level of professionalism and support to our customers. We provide our employees with a positive work environment and social activities that reinforce teamwork. Venturi, LLC, a Chenega Company, has a challenging career opportunity for a Digital AI Development Engineer who will join the Federal Solutions team providing Systems Engineering Technical Assistance to the Ground-based Midcourse Defense (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
Active Secret Clearance

Nice To Haves

Working understanding of AI pipelines, including data processing, model deployment, and integration
Understanding of frameworks such as Lang Chain, Open Web UI, and embedding databases
Strong programming skills in Python or similar languages, with a focus on AI and data processing libraries
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
Ability to work independently while collaborating effectively with team members.
Excellent problem-solving skills and attention to detail
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 (MongoDB) 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 embedding 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 improve pipeline performance
Document processes, workflows, and best practices for AI pipeline development and maintenance
Perform other duties as assigned

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