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JOB DESCRIPTIONS
Responsibilities
As a Research Scientist (Core AI) at Nasiko, you will shape the theoretical and architectural foundation of how autonomous agents think, reason, and coordinate across distributed environments.
You will:
Advance multi-agent intelligence – Design algorithms and models that enable autonomous agents to communicate, plan, and collaborate dynamically in open, decentralized systems
Develop scalable coordination frameworks – Create architectures for decentralized goal alignment, conflict resolution, negotiation, and consensus in large-scale, heterogeneous agent ecosystems
Enable interoperability and discovery – Design mechanisms that allow agents, services, and infrastructure components to discover each other, share capabilities, and coordinate without centralized control
You'll work closely with platform and infrastructure engineers to translate research insights into production-grade capabilities that power the Nasiko agent layer – bridging the gap between cutting-edge theory and real-world distributed AI systems.
Minimum Qualifications
Conduct original research in multi-agent systems, autonomous coordination, collective intelligence, and learning in distributed settings
Design and prototype reasoning, communication, and negotiation frameworks for large-scale agent ecosystems
Develop models, protocols, and architectures that enhance agent interoperability, verifiability, and adaptivity
Collaborate with engineering teams to operationalize research outputs, integrating them into Nasiko's core platform
Publish high-quality research and contribute to shaping industry standards for AI coordination.
Preferred Qualifications
PhD (or equivalent research experience) in Computer Science, Machine Learning, Artificial Intelligence, Robotics, or a related field
Strong foundation in one or more of the following areas:
Machine learning, deep learning, reinforcement learning, or planning algorithms
Graph-based learning and relational reasoning
Multi-agent systems and coordination
Optimization and distributed algorithms
Demonstrated track record of high-quality research, including publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, AAMAS, CoRL, AAAI, IJCAI)
Proficiency in Python and deep learning frameworks (PyTorch, JAX, etc.)
Strong systems-thinking ability with a balance of theoretical depth and practical implementation skills
Excellent problem-solving, communication, and collaboration abilities
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APPLICATION