Description

You will architect and deploy local AI processing models and RAG pipelines within .NET ecosystems. You own the full development lifecycle, from designing relational data models to tuning advanced SQL queries and managing deployments.

This role is on-site.

Responsibilities

• Architect and implement AI-driven solutions, including Retrieval-Augmented Generation (RAG) pipelines and semantic search using PostgreSQL and pgvector.
• Design and maintain robust relational data models, optimizing database performance through advanced SQL tuning and query analysis.
• Develop scalable microservices using ASP.NET Core, C#, and Docker, ensuring seamless integration with cloud-native services like AWS Lambda and API Gateway.
• Implement SOLID principles, design patterns, and Domain-Driven Design (DDD) to structure clean, maintainable codebases.
• Manage CI/CD pipelines, source control (Git), and agile workflows using Azure DevOps and JIRA.

Required Skills

• 10+ years of professional software engineering experience.
• Deep expertise in C#, ASP.NET Core, and .NET Microservices.
• Strong proficiency in HTML, JavaScript, XML, and JSON.
• Extensive experience with PostgreSQL, including Docker integration and pgvector for vector storage.
• Hands-on experience with AI agents, Gen AI tools, and local RAG implementation.
• Proven track record with relational database design, advanced SQL performance tuning, and general NoSQL knowledge.
• Familiarity with cloud-native services (AWS Lambda, API Gateway, Fargate, SNS, SQS) and infrastructure as code (CloudFormation).

Preferred Skills

• Experience with JavaScript frameworks such as Angular, Vue.js, or React.
• Knowledge of team development tools including Visual Studio, Azure DevOps, and JIRA.

Key Skills

Education

Bachelor's degree