Applied AI Researcher, Multi-Agent Systems

Distyl
San Francisco
Workplace: HybridFull timeFunction: Research & Scientific (R&D)Skills: ["Python","Prototyping","Research"]

Researcher focused on designing architectures for coordinating multiple AI agents, enabling structured communication, delegation, and collaborative reasoning across complex workflows. Investigates interaction patterns, evaluation agents, and orchestration mechanisms to build cohesive, high-performing agent systems. Embraces AI-native approaches, publishes results, and uses modern AI tools daily to push foundational advancements in agent coordination for enterprise-scale problems.

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FursaFursa
Distyl
Distyl
2 months ago

Applied AI Researcher, Multi-Agent Systems

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Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live

Job Summary

Researcher focused on designing architectures for coordinating multiple AI agents, enabling structured communication, delegation, and collaborative reasoning across complex workflows. Investigates interaction patterns, evaluation agents, and orchestration mechanisms to build cohesive, high-performing agent systems. Embraces AI-native approaches, publishes results, and uses modern AI tools daily to push foundational advancements in agent coordination for enterprise-scale problems.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Design architectures for multi-agent coordination, enabling structured communication, routing information, and coordinating decision-making across agents with different views of the problem.
  • •Study interaction patterns that govern collaboration among agents, including information exchange, critique, and coordination across complex workflows to establish design language for cohesive systems
  • •Investigate agent orchestration, communication protocols, evaluator agents, and systems where agents interact to exchange information and coordinate decisions over time
  • •Advance foundational research in how agents coordinate, reason, and collaborate to solve enterprise-scale problems
  • •Publish and communicate research results and demonstrate tangible impact to stakeholders

Pay and Benefits

Perks:Remote WorkHealth Insurance401kEquity

Key Requirements

  • •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.
  • •Excited about making foundational advancements in how agents coordinate, reason and collaborate
  • •Proven Track Record of Research Results: published in top journals or comparable venues; active dissemination of work
Experience:Multi-agent systemsAI researchMARLGNNsKnowledge graphs
Skills:PythonPrototypingResearch
Tech Stack:MARLGraph Neural NetworksKnowledge GraphsMixed-Initiative PlanningChatGPTCursorPerplexity

Company Brief

Distyl
Builds enterprise-grade AI systems and integration services (Distillery) to help Fortune 500 companies become AI-native, delivering measurable operational impact across healthcare, telecom, manufacturing, and finance.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series B
Headquarters: San Francisco, United States
Founded: 2022
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