Associate Director, Software Engineering (GenAI Agent Platform_Shenzhen)
Tasks
- Add guardrails and safety controls
- Build generative AI agent runtime
- Create platform documentation and developer guidance
- Define SLAs and SLOs
- Define agent platform requirements
- Develop reference architectures and APIs SDKs
- Develop templates best practices and guidance
- Ensure auditability and compliance controls
- Establish evaluation and testing for quality
- Evaluate emerging agent capabilities
- Handle memory and state
- Implement access management and encryption
- Implement agent orchestration
- Implement offline and online evaluation
- Implement security and privacy by design
- Implement tool calling and function calling
- Improve retrieval quality
- Integrate platform integration patterns
- Manage model risk considerations
- Manage prompts and workflows
- Monitor platform performance in production
- Optimize caching and throughput
- Perform root cause analysis
- Provide runbooks and escalation support
- Set up observability logs traces metrics
- Support onboarding delivery teams
- Translate capabilities into platform enhancements
- Troubleshoot production incidents
- Tune prompts and agents
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Access Management | Agentic Workflows | Auditability | Azure | Caching | Chunking | Compliance | Data handling | Distributed tracing | Docker | Elasticsearch | Embeddings | Encryption | Faiss | Function Calling | GCP | Generative AI | Go | Guardrails | Java | Kubernetes | LLM | Langchain | Langgraph | Logging | Metrics | Milvus | Model Evaluation | Model Risk Management | Model risk | Multiaagent Systems | Observability | Orchestration | Performance Monitoring | Pinecone | Privacy | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Risk Management | SLA | SLO | Security | Throughput Optimization | Tool-Calling | Vector Databases | Workflow Management
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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