Lead AI solutions across Voice AI, Computer Vision, and Conversational AI.
Architect production-grade AI systems for monitoring, analytics, and automation.
Collaborate with cross-functional teams to deploy AI for EV drivers and operators.

🎯 Requirements

Python, FastAPI, Django, and modern backend AI services.
LLM engineering: LangChain, LangGraph, Bedrock/OpenAI APIs, prompts, and RAG.
Elasticsearch with vector search, hybrid search, and semantic retrieval.
Vector databases: Qdrant, ChromaDB, Pinecone.
Production LLM systems with low-latency inference, caching, and observability.
Distributed systems design, microservices, and event-driven patterns (Kafka, RabbitMQ).
Cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines.
PostgreSQL, Redis, MongoDB, and message queues.

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