
AI Conversational Platform Software Architect
1 day ago
We're seeking a talented Software Architect to design and build an AI-driven conversational platform. The role involves architecting scalable systems that integrate multiple language models, support real-time interactions, handle complex state management, and ensure performance, observability, and security across the stack.
The ideal candidate will have a deep understanding of modern web architectures, cloud-native deployments, and AI/ML system integrations.
This is a unique opportunity to work on a cutting-edge project that combines the power of artificial intelligence with human-like conversation.
">Key Responsibilities
- Implement advanced chat session management, including context persistence, token optimization, and retrieval-augmented generation (RAG).
- Design and optimize high-throughput APIs (REST, GraphQL, and WebSockets/SSE) with rate limiting and fault tolerance.
- Integrate token metering, analytics, and usage-based billing systems.
- Develop a secure, multi-tenant user management system with granular authentication/authorization.
- Leverage event-driven architectures (Kafka, Pub/Sub, or equivalent) for real-time processing and monitoring.
- Optimize database schemas and queries (PostgreSQL, pgvector, Supabase) for low-latency chat history retrieval.
- Implement vector search and RAG pipelines using Pinecone, Weaviate, or pgvector for knowledge grounding.
- Ensure cloud-native scalability with Docker/Kubernetes, CI/CD pipelines, and IaC (Terraform, Pulumi).
- Set up observability (distributed tracing, structured logging, metrics, error tracking) for debugging and performance monitoring.
- Apply AI safety and guardrails (moderation APIs, prompt filtering, structured outputs).
- Stay ahead of AI ecosystem developments and propose new integrations.
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