CareerPe changes what happens before the interview. We understand the capability, identify the gaps, find the fit, and make the introduction.
For candidates, understand what you can do, what to learn next, and where your capability fits.
For startups, calibrate the role, see who actually matches, and know why they are worth meeting.
AI Engineer demand up 34% this month
47 verified candidates fit your role
Your salary band is 12% below market
92% capability match — interview ready
Adding SQL unlocks 3x more opportunities
A CV tells you what someone says they've done.
It doesn't prove what they can do next.
A job description tells you what a company says it needs.
It doesn't tell you whether the market—or the right candidate—will agree.
Neither tells you if the two actually fit. CareerPe builds that missing layer.
CareerPe shows you what you can do, what you're missing, what to upskill next, and where your capability fits.
Your outcome
Learn for the opportunity you want.
Build your Career DNA and give the right startup a reason to discover you.
Give us your role. CareerPe shows you how realistic it is, what the market looks like, who actually matches, and why they're worth meeting.
Your outcome
You don't get another CV. You get a reason to meet.
See the evidence and market context before making the introduction.
Better intelligence. Better shortlist. Better hiring. CareerPe shows what the market looks like, who fits, and which requirement is reducing your talent pool.
Role realism
Needs adjustment
Before the meeting, know more.
AI Engineer · Bengaluru
Gap widening
₹21L vs ₹24–28L
Widen experience to 0–2 years.
Keep GenAI + Python mandatory. Move MLOps to preferred.
Potential matches
Live signal0
candidates fit this opportunity
18
Interview ready
11
Available now
7
Top 10% match
Hiring difficulty
High
Top 18% hardest roles
CareerPe says
Widen experience. Keep the capabilities that matter. Remove unnecessary restrictions. The goal isn't more applicants — it's more of the right people worth meeting.
2.3×
larger pool
−9 days
time to hire
Illustrative example.
Practical evidence shows how the candidate applies GenAI to the work this role requires.
Why it matters — A proven strength, not a keyword.
Assessment evidence validates the skill level behind the profile claim.
Why it matters — Verified against the opportunity.
Work evidence connects capability to a real problem, not a self-reported proficiency score.
Why it matters — Relevant evidence for the role.
Startup experience is relevant. MLOps remains the visible capability gap.
Why it matters — Recommendation: meet this candidate.
Understand
Candidates see their capability clearly.
Upskill
Gaps become a focused learning path.
Prove
Capability is supported by evidence.
Define
Startups share the real role outcomes.
Calibrate
Requirements meet market reality.
Meet
CareerPe makes the right introduction.
CareerPe: Makes the connection.
Job boards give you applications. LinkedIn gives you profiles. Recruiters give you shortlists. CareerPe gives you intelligence before the introduction.
For candidates
Join the first network and build the context startups need before they meet you.
For startups
Join the first network and replace profile browsing with intelligence before the introduction.
*Meeting guarantee applies to eligible roles. Launch terms apply.
If we don't deliver two qualified candidate meetings for an eligible role, we refund your subscription fee.
0
Qualified candidate meetings
0%
Fee back if we miss
0₹
Cost to candidates
*Eligible roles only. Launch terms apply.
Share a role with CareerPe
Get market context and a reason to meet—not another stack of CVs.
Join before the network gets crowded.
Join CareerPeCapability should find opportunity.
And opportunity should find capability.
Candidates: Understand. Upskill. Prove. Get discovered.
Startups: Define. Calibrate. Find. Meet.