PickCV is an AI-native talent intelligence platform building a unified system that connects job seekers, early talent, and hiring systems. We convert fragmented talent capability data into structured, machine-readable signals—enabling more reliable evaluation and decision-making at scale. At its core, PickCV is building a unified intelligence layer that models: • skills • experience • learning behavior • market demand About the Role: Backend + AI Systems | ₹10,000/month stipend | 6-month internship Location: Mostly remote — preference for Hyderabad, Vizag, Bengaluru, or Mumbai Why this role exists The Problem: The Talent and Hiring intelligence systems still operate on limited, inconsistent signals. The Gap: Most solutions improve how information looks. We focus on how it is interpreted by systems. The Current Phase: Building on our B2C resume intelligence product, we are now shipping initial modules as part of a B2B POC. The focus of this phase is to evolve these systems into reliable, production-grade infrastructure that performs consistently under real-world usage. What you’ll be working on You’ll build the AI systems and product engineering. AI systems: • Resume parsing and structured information extraction • Skill identification from resumes and job descriptions • LLM-powered resume improvement systems • Talent-to-job matching models • AI agents for career gap analysis and recommendations • Interview intelligence (simulation and feedback systems) Product & platform: • PickCV web platform • APIs powering AI workflows • User dashboards and resume tools • Talent profile and data systems • Integrations with learning and hiring platforms AI-native workflows: • LLM pipelines and orchestration • Embeddings and similarity search • AI-based scoring and ranking systems • Automation agents What you’ll own • Systems that convert unstructured data into reliable signals • Production-grade backend services and APIs (Python + TypeScript) • AI-driven workflows for analysis, matching, and automation • Data pipelines where accuracy, reliability, and failure handling matter The kind of person we want This is not a “learn and observe” role. This is a “build and figure it out ” role. • You see a problem and try to solve it • You learn tools quickly when needed • You use AI tools to move faster, not just experiment • You enjoy figuring things out independently • You care about shipping real systems You don’t need to know everything. But you must be comfortable learning fast and building fast. What matters most Output > credentials • You’ve built real projects (not just coursework) • You can take ideas from 0 → working product • You don’t wait for perfect specs or constant direction • You operate effectively in ambiguity Do NOT apply if • Your experience is limited to courses, bootcamps, or certifications • You haven’t built anything end-to-end • You need constant direction to move forward Tech (indicative, not mandatory) Languages: Python, JavaScript / TypeScript AI: LLM APIs, prompt pipelines, embeddings, vector search Web: React / Next.js, backend APIs (FastAPI / Node.js) Data & infra: PostgreSQL, vector databases, cloud platforms Note: We move fast. Learnability > specific tools. Who this is ideal for • Students in CS / AI / Data Science • Recent graduates who enjoy building • Developers already experimenting with AI tools • People who want to build products, not just complete assignments What you gain • Experience building real AI-powered systems (not demos) • Direct exposure to product and system design decisions • End-to-end ownership from idea → production • Real-world experience with modern AI workflows This is hands-on startup engineering experience. Not simulated. Not sandboxed. The trade-off: Let's be practically honest ₹10,000/month | 6 months | Remote • Lower short-term pay • Higher ownership, faster learning, real system exposure Post 6 months → Exceptional performers → full-time roles & early equity participation How to Apply We value output over credentials . If you are ready to build real systems, skip the "Easy Apply" and send an email. • Email: • Subject: Building PickCV – (Your Name) Please include: • Proof of Work: Links to your GitHub, portfolio, or 1–2 live projects. • The "Hard" Part: A brief description of the most complex system you’ve built (and why it was challenging). • The Lesson: One thing you built that failed—and what you learned from it.