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.