
Conversational Platform Architect
1 day ago
We are seeking an experienced professional to design and build a conversational platform that integrates six leading AI models into a scalable system.
This role involves architecting systems that integrate multiple providers, support real-time interactions, handle complex state management, and ensure performance, observability, and security across the stack.
- Main Responsibilities:
- Implement advanced chat session management, including context persistence, token optimization, and retrieval-augmented generation (RAG).
- Design and optimize high-throughput APIs with rate limiting and fault tolerance.
- Integrate token metering, analytics, and usage-based billing systems.
- Backend Engineering: Node.js/Deno + TypeScript, event-driven design, API performance optimization.
- Databases: PostgreSQL + vector extensions (pgvector), Redis/Valkey for caching and pub/sub.
- Cloud & Infra: AWS/GCP/Azure, Kubernetes, serverless compute (Lambda/Cloud Functions), load balancing.
- Experience with Orchestration Engines: LangChain, LlamaIndex, or custom engines.
- Knowledge of Embeddings: vector databases, and hybrid search techniques.
- Bachelor's/Master's in Computer Science: equivalent practical experience from a pedigree background.
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