Job Description
Responsibilities: - You will work across the core PitchSense platform, including: AI roleplay and buyer simulation systems, LLM-based scoring, feedback, and evidence extraction. - Revenue readiness programs and certification workflows. - Manager coaching queues and action loops. - Multi-tenant analytics and reporting systems. - Company-specific memory, context packs, and retrieval workflows. - Integrations with AI models, voice systems, and sales workflows. - Scalable backend APIs and production-grade frontend experiences. - Architect and build scalable full-stack systems for AI-powered sales readiness. - Design clean APIs, data models, and service boundaries for multi-tenant enterprise workflows. - Build LLM-powered evaluation, feedback, and coaching systems. - Work on memory, retrieval, and context systems that make PitchSense smarter over time. - Convert product ideas into reliable, production-ready features quickly. - Improve performance, observability, caching, and infrastructure reliability. - Collaborate closely with design, product, and the founding team.



- Use AI coding tools responsibly to increase speed while maintaining quality. - Mentor junior engineers and raise the engineering bar through reviews, architecture, and execution quality. Requirements: - 3-6 years of robust full-stack or backend engineering experience. - Strong hands-on experience with TypeScript, Node.js, PostgreSQL, and React/Next.js . - Ability to own modules from design to production. - Good understanding of APIs, database design, backend architecture, and production debugging. - Comfort working in a fast-moving startup environment with high ownership. - Strong product sense and ability to make practical engineering tradeoffs. - Clear communication and willingness to work across frontend, backend, infrastructure, and AI workflows. - Experience building AI products using LLM APIs. - Experience with RAG, agents, evaluation pipelines, or prompt/versioning workflows. - Expe

📌 SDE II (Gurugram)
🏢 HuntingCube
📍 Gurugram