AI Researcher Intern
Tasks
- Build agent behavior interpretability framework
- Build agent execution sandbox environment
- Build consensus achievement and conflict resolution mechanisms
- Build context aware memory system
- Design agent evaluation and benchmarking system
- Design agent social behavior norms
- Design hierarchical memory architecture
- Design task decomposition and planning engine
- Develop memory retrieval augmentation with RAG
- Implement execution state tracking and anomaly recovery
- Implement role specialization and task allocation algorithms
- Implement tool call orchestration mechanism
- Research agent execution framework design
- Research agent safety alignment mechanisms
- Research memory compression and summarization techniques
- Research multi agent collaboration architecture
- Translate agentic AI research into engineering practice
Perks/Benefits
Skills/Tech-stack
Asynchronous programming | Autogen | Concurrency Control | Containerization | CrewAI | DPO | Distributed Systems | Docker | Function Calling | Kubernetes | Langchain | Large Scale Distributed Systems | Large-scale | Llamaindex | Performance optimization | Prompt engineering | Python | RAG | RLHF | Re-ranking | Reinforcement Learning | Retrieval-Augmented Generation | Scale distributed systems | Text Embedding | Tool use | Transformer Architecture | Vector Retrieval
Education
Roles
AI | AI Researcher | AI Researcher Intern | Intern | Researcher Intern
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