AI Engineer

• Lead the development and improvement of the agentic chatbot, including merging different chatbot architectures.
• Develop intuitive and efficient applications where AI interactions provide value and enhance the user experience.
• Lead the evaluation of the AI chatbot by creating and running test suites, capturing performance metrics, and comparing results against baseline tools and grounded truths.
• Enhance chatbot accuracy by implementing new logic (e.g., converting natural language into Cypher queries) and refining prompts.
• Optimize prompts and manage context for AI interactions by agents and humans.
• Research and implement solutions to overcome platform limitations and integrate a mix of data sources including vector and graph databases.
• Intergrade and utilize observability tools like MLflow to monitor, debug, and optimize LLM token usage and Lang Graph calls.

AI Engineer – Generative & Conversational Systems

Lead AI Engineer

Team Lead, AI Engineer

AI Developer

Salesforce AI Architect

AI Engineer