Senior Applied AI Engineer

Job summary

Responsibilities

As an applied AI engineer, you turn the raw intelligence of LLMs into a reliable product in production. Agent orchestration, context engineering, memory management, retrieval, and evaluation are at the center of your day-to-day work in collaboration with software engineers and product teams.

• You consistently look for the best quality/latency/cost trade-offs.
• You own our evaluation and guardrails system ensuring reliability and safety.
• You own our context engineering system.
• You consistently improve our AI product by identifying and implementing new opportunities at every level.

What they're looking for

• 10+ years of experience in software development or data science, engineering production systems using modern programming languages.
• Deep knowledge of LLM architecture, prompting, context engineering, and vector database workflows.
• Hands-on experience building agentic systems, using orchestration frameworks (e.g., LangGraph, Agno, Mastra, custom), and running evaluations.
• Entrepreneurial experience is a real plus.

Tech stack

• LangGraph