.NET AI Engineer

Purple Drive Technologies

• $100K — $130K *
San Antonio, TX 78228In-Person
Information Technology
Less than 5 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in software development with a focus on .NET technologies
  • Proficient in AI integration and building AI-driven architectures
  • Experience with local RAG implementation and Semantic Kernel frameworks
  • Strong skills in PostgreSQL and vector-based data processing
  • Familiarity with Docker and containerization techniques
  • In-depth knowledge of OOP, SOLID principles, and design patterns
  • Hands-on experience with AWS services and CI/CD practices

Responsibilities

  • Design, develop, and deploy AI-driven applications using .NET frameworks
  • Implement local AI processing models and RAG pipelines in enterprise settings
  • Optimize PostgreSQL with pgvector for improved data retrieval
  • Create scalable microservices and cloud-native applications
  • Apply best practices in OOP and architecture for enterprise solutions
  • Collaborate with cross-functional teams using Agile methodologies
  • Contribute to architecture discussions and participate in code reviews

Benefits

  • Opportunity to work with cutting-edge AI technologies
  • Collaborative and dynamic team environment
  • Emphasis on professional development and continuous learning
  • Flexible work arrangements to enhance work-life balance
Full Job Description
Overview:

Key Skills Required:
• C#, ASP.NET Core, .NET Microservices
• AI/LLM Integration and AI-Driven Architecture
• Local RAG (Retrieval-Augmented Generation) Implementation
• Semantic Kernel
• PostgreSQL, pgvector
• Docker & Containerization
• OOP, SOLID Principles, Design Patterns
• Advanced SQL Query Optimization & Performance Tuning
• AWS Cloud Services (Lambda, API Gateway, Fargate, SNS, SQS, etc.)
• CI/CD, Azure DevOps, Git
• Agile/Scrum Methodologies

Key Responsibilities:
• Design, develop, and deploy AI-powered applications using .NET technologies.
• Build and implement local AI processing models and RAG pipelines within enterprise environments.
• Configure and optimize PostgreSQL with pgvector for vector search and retrieval.
• Develop scalable microservices and cloud-native applications.
• Apply OOP, SOLID principles, and architectural best practices to enterprise solutions.
• Work closely with cross-functional teams in an Agile environment.
• Participate in architecture discussions, code reviews, and technical design sessions.
* Ladders Estimates

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