AI Proactive Professional

Virtusa

8 - 13 years

7 - 11 Lacs

hyderabad

Posted:1 day ago| Platform:

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Skills Required

ai python vector search communication protocols llm machine learning vector databases cloud native microservices reinforcement learning cloud gemini nlp apis looker design typescript architecture

Work Mode

Work from Office

Job Type

Full Time

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 Gemini Models, Vertex AI, ADK, and Agent Builder
Proficiency in Python, TypeScript, or Go for developing and orchestrating agents
Proven experience in RAG pipelines, vector databases (e g , Pinecone, FAISS, Big Query Vector Search)
Experience with multi-agent orchestration using Lang Chain, Llama Index, or Googles ADK
Knowledge of MCP (Multi-Context Protocol) and A and A (Agents-at-Agents) collaboration patterns
Experience in prompt engineering, context grounding, and evaluation frameworks
Strong understanding of cloud-native architecture, microservices, and API integrations

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