AI-Native Software Engineer
Tasks
- Apply prompt engineering for engineering workflows
- Architect scalable backend systems
- Build internal AI agents for engineering workflows
- Build modular backend architectures
- Design REST and event driven APIs
- Evaluate model limitations and guardrails
- Generate unit and integration tests
- Implement CI/CD pipelines
- Integrate AI services into production systems
- Manage observability logging tracing monitoring
- Mentor engineers on AI native workflows
- Optimize development workflows with AI
- Perform static analysis and code reviews
- Produce technical documentation
- Refactor legacy systems
- Use LLMs for code generation and refactoring
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | ASP.Net Core | Azure | C# | CI/CD | Clean architecture | Code Analysis | Code generation | Code review | Dependency Injection | Distributed tracing | Entity Framework | Event Driven | Event-driven architecture | Infrastructure as Code | Integration Testing | LLM APIs | Logging | Microservices | Monitoring | Prompt engineering | REST APIs | SQL | Static Code Analysis | Unit Testing | “as-code”
Education
N/A
Roles
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