Enterprise AI Engineer — Deploying LLM-Driven Solutions

Edra; New York (NY); On-site; USD 120,000 - 190,000; Full time

Job summary

Edra in New York is building a learning system that teaches AI agents how enterprises operate, ingesting knowledge bases, conversations, tickets, and logs to produce executable instructions with confidence scoring.

We seek Forward Deployed AI Engineers who have built complex, production LLM-based systems and want to work directly with enterprise customers, owning the full technical journey from discovery to production and expansion.

Qualifications

• 3+ years of professional experience in AI/ML or software engineering.
• Built production LLM-based systems with multiple components.
• Experience with human-in-the-loop feedback and prompt optimization.
• Strong communication and ability to explain technical work to customers.

Responsibilities

• Work directly with enterprise customers to identify new problems, prototype solutions, and ship them to production.
• Own customer engagements from discovery and solution design through production, adoption, and expansion.
• Design and implement LLM-powered systems and agentic workflows from concept to production
• Use and extend our core context-learning library to solve customer problems, contributing reusable capabilities and lessons back into the platform.
• 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 elevate to a human
• Architect async, scalable systems that handle complex AI orchestration

Skills

LLM systems

Production code

Agentic workflows

Context engineering

Customer empathy

Communication

Problem solving

Job description

Edra in New York is building a learning system that teaches AI agents how enterprises operate, ingesting knowledge bases, conversations, tickets, and logs to produce executable instructions with confidence scoring.

We seek Forward Deployed AI Engineers who have built complex, production LLM-based systems and want to work directly with enterprise customers, owning the full technical journey from discovery to production and expansion.