Website:
pickcv.com
Job details:
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: connect@pickcv.com
- 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.
Click on Apply to know more.