Languages: NodeJS/Javascript/Typescript,Python, Go,APIs and services: REST, gRPCCloud and infrastructure: AWS and/or GCP, KubernetesDistributed systems: event-driven architectures, including KafkaOrchestration Frameworks: LangGraph, LangChain, AirFlow, etcIntegration of commercial and open-source LLMs into agentic workflowsAgent and orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI, with strong judgment about when to use frameworks versus building lighter-weight primitivesModel-level work using PyTorch and the Hugging Face ecosystem (embeddings, fine-tuning, inference tooling), with some exposure to TensorFlowStrong schema, validation, and state management practices using tools such as Pydantic (Python) and Zod (TypeScript). Own and evolve shared agentic AI capabilities, including:Agent frameworks and orchestration layersPlanning, tool use, and memory strategiesRetrieval and grounding (RAG) pipelinesLLM infrastructure, inference, and model gatewaysEvaluation, observability, and safety tooling for au tonomous systemsLead technical design reviews and help teams navigate tradeoffs involving autonomy, safety, reliability, scalability, and cost.