AI Engineer (New York)

Edra • New York City, NY

1d • Onsite

About The Position

Edra is solving one of the hardest problems in enterprise AI: AI models are generic but company processes are specific. We build AI agents that learn how processes actually run, and then run their operations. We're a Series A startup, backed by Sequoia and other leading VC firms, and we're growing our team in New York and London. We're a deeply technical team of engineers, AI researchers, and strategists with a high bar for talent and a shared belief that exceptional people are the foundation of everything great we'll build. The Role We're building a learning system that teaches AI agents how enterprises actually work. Our system ingests knowledge bases, conversations, tickets, and system logs, then produces written instructions that agents can execute–with confidence scoring to know when to automate and when to seek human input. We're looking for AI Engineers who have built complex, production LLM-based systems. Whether you've scaled LLM workflows handling millions of requests, built multi-agent systems in production, or designed evaluation frameworks for enterprise deployments, we want people who bring intensity and self-direction to their craft. You'll work directly on our core learning library, ship features with real enterprise customers, and contribute back to the platform. The work spans continuous learning systems, agentic features, human-in-the-loop feedback loops, and agent orchestration.

Requirements

• You've built complex, production LLM-based systems with real depth–something with multiple layers of engineering decisions you can walk through in detail
• You've shipped something meaningful to production and can explain how it evolved
• You're excited by open-ended problems where the solution might not exist yet
• You have experience with (or strong interest in) how systems learn and improve over time: human-in-the-loop feedback, prompt optimization and context engineering
• You have experience building agents and autonomous systems
• You can navigate between research papers and production code with equal comfort
• You have 3+ years of professional experience
• You're a strong communicator who can clearly explain their work, both to teammates and to customers

Responsibilities

• Build and contribute to our core context learning library, implementing new learning capabilities with customers then generalizing them back into the platform
• Design and implement LLM-powered systems and agentic workflows from concept to production
• Work directly with enterprise customers to identify new problems, prototype solutions, and ship them to production
• Build agentic features for knowledge management–think agents that can edit, update, and maintain large knowledge bases autonomously
• Build reliability and confidence systems–evaluation frameworks, confidence scoring, and logic for when to automate vs. 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed