Applied AI Researcher, AI Systems
Designs and researches compound AI systems integrating LLMs, agents, and execution components for reliable enterprise workflows. Requires proven AI research track record, daily AI tool usage, strong prototyping skills, and expertise in agentic techniques.
About the job
Key Responsibilities
- Design compound, end-to-end architectures that orchestrate perception, reasoning, planning, and execution.
- Integrate diverse components (LLMs, retrievers, evaluators, memory systems, and execution agents) into robust, scalable systems.
- Investigate governing principles behind complex system interactions, coordination, information flow, and emergent behavior across multiple agents and models.
- Identify mechanics of robustness, composability, and alignment to establish design language for intelligent systems.
Who You Are / Requirements
- Experience Building with Models, Not Just Building Models: Expertise in compound AI systems, agentic collaboration, and techniques like ensembling, ReAct, graph-of-thoughts.
- Proven Track Record of Research Results: Publications in top journals, Twitter posts, or equivalent.
- Uses AI Every Day: Proficiency with tools like ChatGPT, Cursor, Perplexity to accelerate workflow.
- Strong Programming and Data Analysis Skills: Ability to build prototypes and run experiments.
- Biases Towards Showing vs Telling: Focus on demonstrating AI power today.
Compensation
- Base salary: $150K – $250K (depending on experience, location, level).
- Equity, comprehensive benefits (100% covered medical/dental/vision, 401(k), commuter benefits, in-office lunch).
Skills
LLMs, React, Graph-Of-Thoughts, Ensembling, AI Agents, Retrievers, Evaluators, Memory Systems, Python, Data Analysis, ChatGPT, Cursor, Perplexity
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