Opportunity Description
Tired of brittle, unpredictable LLM agents? Come help build the IDE that makes them actually work.
I'm partnering with one of the most exciting early-stage startups in the AI tooling space - a YC-backed company that's on a mission to bring structure (and joy) to human-AI collaboration.
They're building an IDE that lets anyone design, test, and deploy sophisticated AI agents using natural language - not code. Imagine the Notion of AI systems, empowering the next billion knowledge workers to create with AI.
They're now hiring an Applied AI Engineer to help architect and scale the core agent infrastructure - from memory and evaluation to real-world reliability.
What you'll build:
Multi-step, tool-using agents that call real APIs, manage auth, retries, timeouts, and all the tricky edge cases.
RAG pipelines that turn messy data into grounded, useful answers.
Memory systems that persist context - scratch...
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