Distyl AI
applied AI technology
AppliedAIResearcher,Multi-AgentSystems
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Applied AI Researcher, Multi-Agent Systems at Distyl AI. Skills: Multi-Agent Systems, AI utilization in enterprise, foundational advancements in how agents coordinate, reason and collaborate. designing architectures in which multiple agents coordinate to solve problems that require structured interaction across multiple reasoning processes.. build systems that structure communication, route information, and coordinate decision-making across agents operating with different views of the problem.”
What You'll Achieve.
100% production deployment success rate for our customers; run a profitable business
Industry & Context.
solve problems that require structured interaction across multiple reasoning processes.
What They're Looking For.
Must Have
Built or studied systems where multiple agents collaborate through structured communication, delegation, critique, or iterative coordination., Experience with agent orchestration, communication protocols, evaluator agents, or systems where multiple agents interact to exchange information, critique reasoning, and coordinate decisions over time., Experience with research in related fields, such as multi-agent reinforcement learning (MARL), graph neural networks (GNNs), knowledge graphs, mixed-initiative planning, etc., Programming and Data Analysis Skills
Nice to Have
PhD preferred, specific ML framework experience, cloud platform certs
What You'll Do.
designing architectures in which multiple agents coordinate to solve problems that require structured interaction across multiple reasoning processes.
build systems that structure communication
and coordinate decision-making across agents operating with different views of the problem.
investigate the interaction patterns that govern how agents collaborate.
study how agents exchange information
critique and refine each other’s reasoning
and coordinate execution across complex workflows.
identify the mechanics behind effective communication
in effect establishing the design language for how systems of agents can operate as cohesive
high-performing teams
with capabilities that arise from interaction rather than individual performance.
How You'll Work.
Team & Collaboration
multiple agents coordinate to solve problems that require structured interaction across multiple reasoning processes.; systems where multiple agents collaborate through structured communication, delegation, critique, or iterative coordination.; systems where multiple agents interact to exchange information, critique reasoning, and coordinate decisions over time.; how agents coordinate, reason and collaborate.
Communication Scope
structured communication; effective communication
Full Job Description
ABOUT DISTYL AI Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations. We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys. Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business. WHAT WE ARE LOOKING FOR At Distyl we’re pushing the envelope of AI utilization in enterprise. This requires creative researchers who don’t just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used. Our researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional research org. KEY RESPONSIBILITIES - The Multi-Agent Systems team focuses on designing architectures in which multiple agents coordinate to solve problems that require structured interaction across multiple reasoning processes. Researchers build systems that structure communication, route information, and coordinate decision-making across agents operating with different views of
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