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Metro-based, mid-level AI founding role with moderate applicant density and niche technical requirements.
Core ML/agent skills are broadly transferable, though product/domain specifics favor proptech or consumer AI experience.
Explicit 2+ years requirement plus specialized ML/agent expertise makes filters highly strict.
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Develop and manage an AI agent orchestration layer to automate rental processes from initial inquiry to signed lease.
Implement voice-first natural conversation systems that maintain context and coordinate multi-agent workflows for renters.
Design evaluation and feedback mechanisms to continuously improve AI interactions across diverse, real-world data sources including communications and transaction histories.
2+ years of relevant work experience.
Location requirement: Gurugram, India (onsite implied).
Experience with building AI systems involving voice, natural language understanding, and multi-agent workflows.
Work Experience Required: 2+ years as explicitly stated.
Demonstrates strong technical skill in AI and rapid learning ability, with a track record of building real-world projects.
Comfortable working without a fixed specification and iterating based on user feedback from renters and brokers.
Curious and proactive about experimenting with emerging AI models, voice technologies, and agent frameworks rather than passive learning.