Description

You will lead the design, development, and deployment of advanced AI agents.

Responsibilities

• Design, fine-tune, and deploy LLM-based agents using Google ADK, Gemini models, and Vertex AI Agent Builder.
• Build autonomous and collaborative agents leveraging Agents-at-Agents and 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.
• Orchestrate agent workflows through event-driven architectures and multi-agent communication protocols.

Required Skills

• 8+ years of experience in applied machine learning, NLP, and LLM fine-tuning.
• Hands-on expertise with Google AI stack, Gemini Models, Vertex AI, ADK, and Agent Builder.
• Proven experience building and maintaining RAG pipelines and utilizing vector databases.
• Experience with multi-agent orchestration and cloud-native architecture.
• Strong proficiency in Machine Learning, Python, TypeScript, NLP, LLM, Vertex AI, RAG, Reinforcement Learning, Microservices, and APIs.

Key Skills

Education

Any Graduate