About the job
About Us We're building AI that handles the tedious coordination work that drains professionals' time, starting with scheduling. Every day, millions of knowledge workers lose hours to the back-and-forth of coordinating meetings: parsing email threads, juggling time zones, navigating calendar conflicts, and managing the subtle social dynamics of who should flex for whom. Position Details • Education: Bachelors in Computer Science or Equivalent from IITs • Employment Type: Full-time position • Location: Nellore/Chennai • Work Arrangement: In-Person • Salary Range: ₹12L – ₹25L Core Responsibilities AI & Agent Systems • Design, build, and iterate on autonomous AI agents that handle complex, multi-step workflows with minimal human intervention • Implement robust reasoning systems that handle ambiguity, edge cases, and real-world messiness • Build evaluation frameworks to measure agent reliability, reasoning quality, and failure modes Full-Stack Development • Own the frontend experience (React, TypeScript) ensuring AI capabilities translate into intuitive UX • Design and implement backend services and APIs for real-time AI processing • Build data pipelines that feed context to AI systems while maintaining privacy and security Infrastructure & Scale • Take ownership of system reliability, observability, and performance as we scale • Implement security best practices for handling sensitive user data and third-party integrations • Design for growth: architect systems that work at 1K users and evolve gracefully to 1M+ Technical Requirements Essential Technical Skills • Deep understanding of GenAI/AI concepts including: Large Language Models & Prompting • Embeddings & Vector Search • Agent Architectures • Evaluation & Reliability • Power user of AI development tools across multiple categories • Cloud infrastructure experience Personal Characteristics & Mindset • Incredibly inquisitive and fast learner • Customer-obsessed product owner • Constructive contrarian • Scale-minded architect What You'll Work On • Reason through ambiguity • Learn from behavior • Extract patterns from scale • Act autonomously with consequences • Communicate like humans do. Why This Matters Scheduling seems mundane, but it's a proxy for something bigger: can AI handle open-ended, real-world coordination that requires judgment, not just computation?
Requirements
- React
- TypeScript
- Python
- AI
- GenAI/AI concepts
Qualifications
- Bachelors in Computer Science or Equivalent from IITs
Preferred Technologies
- React
- TypeScript
- Python
- AI
- GenAI/AI concepts
About the company
We're building AI that handles the tedious coordination work that drains professionals' time, starting with scheduling. Every day, millions of knowledge workers lose hours to the back-and-forth of coordinating meetings: parsing email threads, juggling time zones, navigating calendar conflicts, and managing the subtle social dynamics of who should flex for whom.
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