Software Engineering Professional - GEN AI
Tasks
- Accelerate software development with AI tools and copilots
- Automate testing validation and rollout for AI services
- Collaborate with product and security teams to deliver AI use cases
- Deploy agent based architectures with tool calling
- Design and build LLM services and agents
- Enforce access control data isolation token usage cost limits compliance
- Ensure reliability scalability and resilience of AI workloads
- Implement CI CD pipelines for AI deployments
- Implement monitoring and observability for AI systems
- Implement retrieval augmented generation and evaluation
- Integrate AI capabilities using APIs
- Manage AI environments across dev test beta prod
- Support governance security and responsible AI controls
- Version models prompts and configurations
Perks/Benefits
- N/A
Skills/Tech-stack
AI orchestration | AIOps | APIs | Access Control | Agent Frameworks | Amazon Web Services | Azure | CI/CD | Cloud platform | Cost Optimization | Data Privacy | Docker | Event Driven | Event-driven architecture | FinOps | Google Cloud | Google Cloud Platform | Infrastructure as Code | Java | Kubernetes | Language Models | Large Language Models | MLOps | Monitoring | Observability | Prompt engineering | Python | Retrieval-Augmented Generation | Token Management | Tool-Calling | Vector Databases | Web Services | “as-code”
Education
N/A
Roles
AI | AI Engineer | DevOps | DevOps Engineer | Engineer | Software Engineer
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