AI Multi-Agent Systems Developer

6 days ago


Gandhinagar, India beBeeMachineLearning Full time

Key roles and responsibilities include designing and implementing multi-agent systems leveraging diverse frameworks. This entails crafting A2A orchestration and implementing context reuse techniques via MCP, while fine-tuning foundation models and integrating retrieval-augmented generation pipelines.To succeed in this position, one must possess strong Python programming skills, as well as expertise in PyTorch/TensorFlow, Hugging Face, and fine-tuning techniques. Additionally, proficiency in LangChain/LangGraph, MCP, and A2A orchestration is essential. Experience with ETL pipeline management, SQL/NoSQL databases, and vector databases is also beneficial.Develop and implement sophisticated multi-agent systemsDesign and execute A2A orchestration protocolsRefine foundation models and integrate RAG pipelinesAWS/GCP/Azure AI services experience and secure integration practices are valuable assets. MLOps expertise is crucial for ensuring seamless collaboration among team members.



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