LLM Application Engineer

Overview

Build the intelligence layer for AI experiences by developing LLM-powered applications, agent workflows, and reliable user-facing AI systems.

What you'll do

• Build and ship LLM-powered applications and AI agent workflows.
• Design systems for reasoning, planning, memory, tool use, and multi-step execution.
• Integrate LLMs with APIs, databases, search, internal services, and external tools.
• Develop prompting, context engineering, structured outputs, and tool-calling techniques.
• Build evaluation frameworks and datasets to measure AI quality and regressions.
• Debug and optimize AI systems for quality, latency, cost, and reliability.
• Establish observability, tracing, experimentation, and continuous improvement practices.

What you'll need

• Strong software engineering fundamentals and experience building AI-powered applications.
• Hands-on experience with LLMs, generative AI, or agent-based systems.
• Experience designing prompts, workflows, evaluations, or AI behavior.
• Ability to write clean, production-quality code.
• Strong problem-solving skills in ambiguous, fast-moving environments.
• Experience with Python, LLM APIs, agent frameworks, vector databases, or retrieval systems.
• Familiarity with backend services, APIs, distributed systems, PyTorch, or JAX.

Details

• Location: United States.