AI Research Engineer (New York)

Edra builds AI agents that learn and execute enterprise processes. The AI Research Engineer advances its context-learning library and agent harness, developing production LLM systems, continuous learning capabilities, and reliability and evaluation systems for customer workflows.

Responsibilities:

• Build and extend our core context-learning library, turning customer-informed problems into reusable platform capabilities
• Design and implement LLM-powered systems and agentic workflows from concept to production
• Build agentic features for knowledge management: agents that can edit, update, and maintain large knowledge bases autonomously
• Build continuous learning loops that use human corrections and production outcomes to find knowledge gaps, detect changed procedures, and improve prompts and instructions
• Build reliability and confidence systems: evaluation frameworks, confidence scoring, and logic for when to automate and when to escalate to a human
• Architect async, scalable systems that handle complex AI orchestration
• Contribute to the direction of our AI strategy and product capabilities