Job Description Skill: AI Tech Architect Role Summary: LLM & Conversational AI Architecture: Build end-to-end AI applications using Python, integrating with APIs, databases, and cloud-native services.Develop modular and reusable components for LLM inference, vector search, embeddings, and model orchestration.Integrate LLMs with enterprise systems (CRM, ticketing, case management, internal knowledge bases).LLM Performance Monitoring & Optimization.Implement monitoring systems for latency, hallucination rate, safety compliance, drift detection, prompt performance, and model quality.Set up continuous evaluation (CEVAL), feedback loops, and telemetry dashboards.Optimize inference cost, token usage, model selection (small vs. large models), and caching strategies.Voice Bot & Chat Bot EngineeringArchitect solutions using:
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