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.

What You'll Do

• 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 We're Looking For

• 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

Don't meet all of the above traits? We'd still love to hear from you. We're looking for exceptional people with unique skills and interests, and we know that great people have different backgrounds and skillsets.

Learn More About Edra

• Watch our Series A announcement video
• Read our blog post from our launch
• Learn more about what we're building

A Few Details