Job Description
Job Title- Senior Machine Learning Engineer
Experience: 3–6 Years
Location: Mumbai / Bangalore (Hybrid)
About the Role
This role is responsible for architecting and implementing the
Agentic c apabilities of the PHI ecosystem. You will lead the development of
multi-agent interactions and ensure technical interoperability through advanced protocols. The role requires a strong focus on AI safety and
the implementation of secure, tool-connected agents that can execute complex tasks within the health insurance domain.
Key Responsibilities
● Agent Orchestration: Build and manage autonomous agents using the ADK and Vertex AI Agent Engine.
● Interoperability: Implement the Model Context Protocol (MCP) to connect AI agents with internal PHI tools and external services.
● Multimodal Development: Build real-time, bidirectional audio applications using the Gemini Live API and integrate image
generation models.
● Safety Engineering: Implement Model...
Experience: 3–6 Years
Location: Mumbai / Bangalore (Hybrid)
About the Role
This role is responsible for architecting and implementing the
Agentic c apabilities of the PHI ecosystem. You will lead the development of
multi-agent interactions and ensure technical interoperability through advanced protocols. The role requires a strong focus on AI safety and
the implementation of secure, tool-connected agents that can execute complex tasks within the health insurance domain.
Key Responsibilities
● Agent Orchestration: Build and manage autonomous agents using the ADK and Vertex AI Agent Engine.
● Interoperability: Implement the Model Context Protocol (MCP) to connect AI agents with internal PHI tools and external services.
● Multimodal Development: Build real-time, bidirectional audio applications using the Gemini Live API and integrate image
generation models.
● Safety Engineering: Implement Model...
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