
AI Conversational Engineer
2 weeks ago
We are seeking a skilled Conversational Platform Engineer to design and build an innovative AI-driven conversational platform.
- 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.
Key Responsibilities
- Develop a secure, multi-tenant user management system with granular authentication/authorization.
- Leverage event-driven architectures for real-time processing and monitoring.
- Optimize database schemas and queries for low-latency chat history retrieval.
- Implement vector search and RAG pipelines using Pinecone or equivalent.
- Ensure cloud-native scalability with Docker/Kubernetes and CI/CD pipelines.
- Set up observability for debugging and performance monitoring.
- Apply AI safety and guardrails.
Must-Have Skills
- Backend Engineering: Node.js/Deno + TypeScript, event-driven design, API performance optimization.
- Frontend Development: React/Next.js (SSR, streaming responses, optimistic UI updates).
- Databases: PostgreSQL + vector extensions, Redis/Valkey for caching and pub/sub.
- Cloud & Infra: AWS/GCP/Azure, Kubernetes, serverless compute, load balancing.
Nice-to-Have Skills
- Experience with LangChain or custom orchestration engines.
- Knowledge of embeddings and hybrid search techniques.
Requirements
- 5–7 years of professional experience in full-stack or platform engineering.
- Proven experience delivering production-grade distributed systems.
- Strong understanding of LLM APIs and AI/ML system integrations.
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