Digital AI Development Engineer

Job Description

Job Description

Mb Solutions Inc. is looking for an amazingly talented Digital AI Development Engineer to join our team! In this role you will be part of Parsons' Federal Solutions 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. What You'll Be Doing:Design and implement AI pipelines for data ingestion, processing, and model deployment using frameworks like LangChain and Open WebUIDevelop and manage embeddings databases to support semantic search, recommendation systems, and other AI-driven applicationsIntegrate AI solutions with cloud platforms such as Azure Foundry to ensure scalability, reliability, and securityCollaborate with cross-functional teams to identify requirements and deliver AI solutions tailored to business needsOptimize AI workflows for performance and efficiency, ensuring seamless integration with existing systemsStay updated on the latest advancements in AI tools, frameworks, and methodologies to continuously improve pipeline performanceDocument processes, workflows, and best practices for AI pipeline development and maintenanceWhat Required Skills You'll Bring:Bachelor's degree in Computer Science, Engineering, or a related STEM field3+ years of related work experienceWorking understanding of AI pipelines, including data processing, model deployment, and integrationActive Secret ClearanceUnderstanding of frameworks such as LangChain, Open WebUI, and embeddings databasesStrong programming skills in Python or similar languages, with a focus on AI and data processing librariesAbility to work independently while collaborating effectively with team members.Excellent problem-solving skills and attention to detail What Desired Skills You'll Bring:Experience with cloud platforms like AWS, Bedrock, SageMaker, or Azure Foundry for AI solution deploymentFamiliarity with semantic search and recommendation systemsKnowledge of distributed systems and scalable architectures for AI pipelinesExperience with containerization tools like Docker and orchestration platforms like KubernetesUnderstanding of MLOps practices for continuous integration and deployment of AI modelsStrong written and verbal communication skills to document and present technical solutionsSolid 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) databasesExperience developing and consuming RESTful APIsDemonstrated ability to build and maintain CI/CD pipelines using tools like Jemkins, GitLab CI, CircleCI, or similar, and integrating Terraform and Ansible for automated deploymentsExperience 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 applicationsStrong troubleshooting and problem-solving skills across the entire technology stackExperience working in an Agile development environment and collaborating effectively with cross-functional teamsAbility to clearly and concisely document infrastructure, configurations, and deployment processesExperience with Linux and/or Windows system administrationMotivated and customer oriented