Associate Director, Software Engineering (Shenzhen_GenAI Agent Platform)

Tasks

• Build agent runtime and orchestration
• Create runbooks and support onboarding
• Define SLOs and SLAs
• Define scalable generative AI agent platform
• Embed security, privacy, and compliance controls
• Ensure encryption access management and auditability
• Establish evaluation testing and guardrails
• Evaluate emerging GenAI agent capabilities
• Implement tool function calling
• Integrate agent platform patterns
• Maintain platform documentation apis and sdk
• Manage prompts workflows and memory state
• Monitor production performance and optimize
• Perform root cause analysis
• Publish reference architectures and templates
• Set observability with logs traces metrics
• Troubleshoot incidents and production issues

Perks/Benefits

• N/A

Skills/Tech-stack

AWS | Access Management | Agent systems | Agentic Workflows | Application development | Audit Logs | Auditability | Azure | Chunking | Cloud platform | Compliance | Distributed tracing | Docker | Elasticsearch | Embeddings | Encryption | Faiss | Function Calling | Generative AI | Golang | Google Cloud | Google Cloud Platform | Java | Kubernetes | LLM Application Development | LLM application | Langchain | Langgraph | Language Models | Large Language Models | Logging | Metrics | Milvus | Model Risk Management | Model risk | Multi-Agent | Multi-Agent Systems | Observability | Pinecone | Privacy | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Risk Management | SLA | SLO | SRE | Security | Tool/function calling | Vector Databases | Workflow Management