Engineer Jobs

About The Position

Requirements

• At least 3 years of professional experience.
• Experience building a complex, production LLM system, with the ability to explain engineering decisions and how the system changed after real users arrived.
• Practical depth in one or more of context engineering, retrieval, agent orchestration, memory, evaluation, or learning from feedback.
• Experimental judgment: ability to turn ambiguous problems into testable hypotheses, set baselines, and distinguish real improvements from noise.
• Comfort navigating both research papers and production code.
• Strong communication skills and ability to explain work to teammates and customers.
• Self-direction and interest in open-ended problems where the solution may not yet exist.

Responsibilities

• Build and extend the core context-learning library, turning customer-informed problems into reusable platform capabilities.
• Design and implement LLM-powered systems and agentic workflows from concept through production.
• Build agentic knowledge-management features that autonomously edit, update, and maintain large knowledge bases.
• 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, including evaluation frameworks, confidence scoring, and logic for when to automate or escalate to a human.
• Architect asynchronous, scalable systems for complex AI orchestration.
• Contribute to the direction of Edra’s AI strategy and product capabilities.

Benefits

• Competitive base salary and meaningful equity.
• Top-tier health, dental, and vision plans, with 100% premium coverage in the US and a One Medical membership.
• Private medical and dental coverage in the UK.
• Flexible paid time off.
• Lunch provided in the office most days, plus snacks and drinks.
• A stipend to set up a workspace.