Design and build conversational AI agents powered by Gemini to provide citizens in emerging markets with intuitive, natural language access to essential public services such as Agriculture and Education.
Help build voice-enabled interfaces to support vernacular languages, ensuring high-quality performance for users in low-connectivity or high-latency environments.
Implement agentic workflows using the Agent Development Kit (ADK) to bridge the gap between complex digital infrastructure and user-friendly conversational experiences.
Provide a Google Cloud opinionated agent blueprint which can be deployed seamlessly to fast-track adoption of AI impacting millions of users.
Collaborate with cross-functional teams to create "Digital Public Infrastructure (DPI)-in-a-Box" sovereign solutions, helping governments deploy national-scale digital foundations.
Minimum qualifications:
Bachelor’s degree or equivalent practical experience.
2 years of experience with data structures and algorithms.
2 years of experience with software development in one or more programming languages like Python or Go.
Experience with Large Language Models (LLMs), Generative AI, and Agentic AI frameworks.
Experience in cloud computing, back-end, and distributed systems.
Preferred qualifications:
Master's degree or PhD in Computer Science or a related technical field.
Experience of developing Agentic AI systems using Vertex AI, Google ADK etc.
Experience in software development, with a proven track record of designing and implementing high-volume, distributed systems or cloud-native infrastructure.