Software Engineering Professional
Tasks
- Accelerate development testing documentation and code review using AI tools
- Build production grade scalable and resilient platforms
- Contribute to reusable assets and reference architectures
- Create prompt engineering and evaluation pipelines
- Deploy AI solutions to cloud platforms
- Develop and deploy AI agents and copilots using LLMs
- Ensure secure and liable AI use
- Implement retrieval-augmented generation
- Implement security privacy and governance controls
- Integrate AI capabilities via APIs
- Manage multi environment AI platforms dev test prod
- Mitigate hallucinations and manage auditability
- Monitor token usage and optimize AI service costs
- Orchestrate multi-agent systems
- Plan and build AI driven services
Perks/Benefits
- N/A
Skills/Tech-stack
AI orchestration | AIOps | API Integration | AWS | Agent Frameworks | Agent systems | Azure | CI/CD | Cloud Platforms | Cloud platform | Compliance | Container Orchestration | Cost Optimization | DevOps | Docker | Embeddings | Event Driven | Event-driven architecture | Google Cloud | Google Cloud Platform | Infrastructure as Code | Java | Kubernetes | LLM Evaluation | Language Models | Large Language Models | MLOps | Multi-Agent | Multi-Agent Systems | Privacy | Prompt engineering | Python | Retrieval-Augmented Generation | Security | Token Management | Tool-Calling | Usage monitoring | Vector Databases | Vector Stores | “as-code”
Education
N/A
Roles
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