Software Engineering Professional
Tasks
- Create production grade scalable resilient platforms
- Deploy AI agent architectures
- Deploy AI solutions on cloud platforms
- Design and build AI services and agents
- Embed AI into developer workflows
- Ensure secure and liable AI use
- Evaluate AI accuracy and reliability
- Implement ci cd for ai services
- Implement governance controls for AI lifecycle
- Implement prompt engineering and RAG
- Integrate AI capabilities into enterprise platforms using APIs
- Leverage AI tools to accelerate development and testing
- Manage AI security privacy and auditability
- Manage multi environment AI platforms
- Monitor token usage and costs for AI services
- Provide technical leadership and mentoring
Perks/Benefits
- N/A
Skills/Tech-stack
AI orchestration | AIOps | APIs | AWS | Agent Frameworks | Agent systems | Auditability | Azure | CI/CD | Cloud Computing | Compliance | Container Orchestration | Cost Optimization | DevOps | Docker | Embeddings | Event Driven | Event-driven architecture | FinOps | Google Cloud | Infrastructure as Code | Java | Kubernetes | Language Models | Large Language Models | MLOps | Multi-Agent | Multi-Agent Systems | Privacy | Prompt engineering | Python | RAG | Security | Service Integration | Token Management | Tool-Calling | Usage monitoring | Vector Databases | Vector Stores | Workflow Agents | “as-code”
Education
N/A
Roles
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