AI Research Engineer (New York)

What you'll do

• Develop the context-learning library and production LLM-powered agent workflows.
• Build continuous learning, knowledge management, evaluation, and confidence systems.
• Architect scalable AI orchestration and contribute to AI strategy and product capabilities.

What they ask for

• Experience building complex production LLM systems.
• Practical depth in at least one of context engineering, retrieval, agent orchestration, memory, evaluation, or learning from feedback.
• Ability to form testable hypotheses, establish baselines, and assess experimental results.
• Strong communication skills and ability to work across research and production code.

Pay

$250K – $350K USD base salary

Tools

LLM

AI focus

Applied AI research and production engineering for agents that learn enterprise processes, improve through human corrections and outcomes, manage knowledge bases, and decide when to automate or escalate.