| Job Description: |
Descriptions:
"• Deep understanding of OOP and SOLID principles and design patterns; strong background in C#, HTML, JavaScript, XML, and JSON; creating and maintaining relational data models and databases; and troubleshooting with advanced SQL performance issues and write/tune advanced SQL queries and also AI driven Architecture
• Architecting, developing, and deploying local, in-house AI processing models and RAG (Retrieval-Augmented Generation) pipelines seamlessly within existing .NET ecosystems.
• Hands-on configuration and utilization of PostgreSQL with Docker and pgvector for efficient, secure vector storage and retrieval.
• Extensive experience with relational databases and general knowledge of NoSQL databases
• Exposure to microservice architecture and cloud-native services (preferably AWS); e.g. AWS Lambda, Amazon API Gateway, AWS Fargate, SNS, SQS, CloudFront, CloudFormation, etc.
• Experience in a continuous integration (CI) environment with Build, Release, and Deployment
• Knowledge of Agile principles with experience in Scrum or Kanban.
• General knowledge of domain-drive design (DDD), three-tier architecture, and other design patterns.
• Knowledge of team development tools and source control; e.g. Visual Studio, Azure Devops, JIRA, GIT, etc.
• Knowledge of one or more JavaScript frameworks, including Angular, Vue.js, Knockout, React, polymer, etc.
• Demonstrated willingness and ability to adapt and learn new technologies/processes.
• Familiar with most general office machines and be proficient in MS Office tools.
• Able to sit for long periods of time analyzing, modifying, and testing software programs.
• Able to lift or move 20-40 lbs. of computer-related objects, manuals, or other office items."
C#, ASP.NET Core, .NET Microservices with AI Skill, PostgreSQL, pgvector, Docker, Local RAG Implementation, Semantic Kernel, OOP
Skills: AI Agents~AI & Gen AI - Products & Tools~Core .NET Technologies
Experience Required: 8-10 |
