About the job
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, Large Language Models & Prompting, Embeddings & Vector Search, Agent Architectures, Evaluation & Reliability, and more. Personal Characteristics & Mindset • Inquisitive, customer-obsessed, and constructively contrarian with a scale-minded architect approach. What You'll Work On • Reason through ambiguity, learn from behavior, extract patterns from scale, and communicate like humans do.
Requirements
- AI & Agent Systems
- Frontend Development
- Backend Development
- Infrastructure & Scale
- React
- TypeScript
Qualifications
- Bachelors in Computer Science
- Equivalent from IITs
Preferred Technologies
- AI & Agent Systems
- Frontend Development
- Backend Development
- Infrastructure & Scale
- React
- TypeScript
About the company
We're building AI that handles the tedious coordination work that drains professionals' time, starting with scheduling. Vela creates autonomous AI agents that manage complexities associated with scheduling, providing context-aware support that was previously reserved for executives with dedicated human assistants. The company is stealthy and well-funded.
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