Job Description
Design, fine-tune, and deploy LLM-based agents using Google ADK, Gemini models, and Vertex AI Agent Builder.
Build autonomous and collaborative agents leveraging A and A (Agents-at-Agents) and MCP (Multi-Context Protocol) frameworks.
Implement RAG pipelines for contextual retrieval from internal knowledge bases, documents, and APIs.
Develop self-improving agent behaviors through reinforcement learning and feedback loops.
Integrate Google LLMs with backend systems (App Engine, Cloud Functions, Big Query, Looker). Orchestrate agent workflows through event-driven architectures and multi-agent communication protocols.
Automate cognitive tasks such as triage, summarization, classification, and reasoning.
Implement evaluation metrics for accuracy, recall, and contextual coherence of agent responses.
Strong experience (8+ years) in applied machine learning, NLP, and LLM fine-tuning.
Hands-on expertise with Google AI stack...
Build autonomous and collaborative agents leveraging A and A (Agents-at-Agents) and MCP (Multi-Context Protocol) frameworks.
Implement RAG pipelines for contextual retrieval from internal knowledge bases, documents, and APIs.
Develop self-improving agent behaviors through reinforcement learning and feedback loops.
Integrate Google LLMs with backend systems (App Engine, Cloud Functions, Big Query, Looker). Orchestrate agent workflows through event-driven architectures and multi-agent communication protocols.
Automate cognitive tasks such as triage, summarization, classification, and reasoning.
Implement evaluation metrics for accuracy, recall, and contextual coherence of agent responses.
Strong experience (8+ years) in applied machine learning, NLP, and LLM fine-tuning.
Hands-on expertise with Google AI stack...
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