Research Engineer, Multi-Agent Systems
Location: Santa Clara, CA, Bangalore, Karnataka, India, United States, Canada, Asia, Europe, South America
Work Location: onsite
- Design and implement multi-agent frameworks that allow Digital Twins to communicate, reason jointly, and coordinate task execution.
- Develop protocols for agent-to-agent collaboration, including dialogue management, consensus formation, and knowledge sharing.
- Integrate large language models (LLMs) with multi-agent orchestration and memory systems.
- Prototype distributed decision-making and reinforcement learning strategies for cooperative tasks.
- Work closely with Applied Scientists and Platform Engineers to bring multi-agent research into production.
- Contribute to internal publications, demos, and benchmarks around collective intelligence and adaptive AI systems.
- MS or PhD in Computer Science, AI/ML, or related field, with experience in multi-agent systems, reinforcement learning, or distributed AI.
- Strong programming background in Python, plus experience with ML/agent frameworks (Ray, LangChain, Hugging Face, PyTorch, etc.).
- Understanding of agent communication protocols, simulation environments, and RAG or memory-augmented architectures.
- Ability to turn complex research ideas into working prototypes and production-ready systems.
- Curiosity about how human-AI collaboration can reshape productivity and organizational knowledge.
- Experience with graph-based reasoning, planning, or coordination algorithms is a plus.
- Build the intelligence layer behind personalized AI agents that collaborate and learn across organizations.
- Join a cross-disciplinary team of scientists and engineers advancing reasoning, memory, and collective intelligence.
- Shape the architecture of an early-stage platform redefining how knowledge is preserved and shared globally.
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