Lead design of cloud-native AI platforms.
Architect end-to-end AI with LLM orchestration, vector search, agentic reasoning.
Design agentic workflows with LangChain and LangGraph for tasks.
Deploy production RAG pipelines with unstructured data and vector stores (Pinecone, Weaviate).
Build Python-based orchestration services and Node.js APIs for secure endpoints.
Establish evaluation/monitoring for LLM quality: latency, token usage, hallucinations.

🎯 Requirements

10+ years in software engineering with ML/LLM focus.
BS in Computer Science from a top-tier institution.
Python with PyTorch and TensorFlow; fine-tuning & prompt engineering.
LangChain, LangGraph, and LlamaIndex for tool-augmented reasoning.
PostgreSQL (multi-tenant), MongoDB/Elasticsearch, and vector DB experience.
AWS (Lambda/EKS) and GCP (Vertex AI/Cloud Run) with Docker, Kubernetes, Terraform.

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