> Djinni
senior
Backend Engineer
c#.netmicroserviceskubernetesvue.jsaws bedrockllmprompt engineeringmultithreadingconcurrency
> full description
Deep backend expertise is required.
Core Tech Stack & Architecture
- Primary Language / Backend (90%): C# / .NET Core (Senior level)
- Architecture: Headless architecture, Microservices
- Orchestration & Cloud: Kubernetes, Cloud environments
- Frontend: Vue.js (minor client-side component)
Key Backend & Engineering Requirements
- Security: Building and securing systems handling sensitive and enterprise data.
- System Design & Optimization: High performance, scalability, and efficiency.
- Concurrent Programming: Parallel/concurrent processing.
- Memory Management: Low-level resource and proper memory management.
AI & LLM Integration Requirements
- Platforms & Tools: Amazon Bedrock, diverse AI/LLM models.
- API & Integration: Model APIs, reading documentation, and integrating new AI models.
- Operations & Cost Management: Prompts, tokens, token usage tracking, and cost optimization.
- Model Selection: Evaluating and selecting appropriate AI models based on task requirements.
- Mindset: Strong capacity and enthusiasm to learn new AI areas rapidly (deep AI expertise is secondary to strong C#/.NET foundations).