Associate Director, Software Engineering (GenAI Agent Platform_Shenzhen)
Tasks
- Add observability logs traces metrics
- Build scalable generative AI agent platform
- Conduct root cause analysis
- Create runbooks for production support
- Define SLOs and SLAs
- Design agent runtime and orchestration
- Develop reference architectures and APIs SDKs
- Enable auditability and data governance
- Ensure security privacy and compliance controls
- Establish evaluation and testing for quality
- Evaluate and track agent performance and safety
- Handle memory and state
- Implement access management and encryption
- Implement guardrails and safety controls
- Implement tool and function calling
- Improve retrieval quality and caching
- Integrate platform components
- Manage prompts and workflows
- Monitor and optimize production performance
- Publish platform documentation and developer guidance
- Support onboarding and delivery teams
- Translate emerging agent capabilities into enhancements
- Troubleshoot complex incidents
- Tune models prompts and agents
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Access Management | Agent systems | Agentic Workflows | Auditability | Azure | Cloud platform | Compliance | Docker | Elasticsearch | Embeddings | Encryption | Faiss | Function Calling | Generative AI | Go | Google Cloud | Google Cloud Platform | Guardrails | Java | Kubernetes | LLM | Langchain | Langgraph | Language Models | Large Language Models | Logs | Metrics | Milvus | Model Risk Management | Model risk | Multi-Agent | Multi-Agent Systems | Observability | Performance Monitoring | Pinecone | Privacy | Python | RAG | REST APIs | Retrieval-Augmented Generation | Risk Management | SL A | SLO | Security | Tool-Calling | Traces | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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