What is a GCC? Global Capability Centres in India explained
What is a GCC? A plain explanation of Global Capability Centres in India: who owns them, what work they do, and how they differ from outsourcing.
Guides
Straight answers on Global Capability Centres in India: what the roles are, what to learn, how to get shortlisted and how the interviews work.
One guide per topic that gives you the whole picture, then points you to the detail.
What is a GCC? A plain explanation of Global Capability Centres in India: who owns them, what work they do, and how they differ from outsourcing.
The seven AI engineering roles GCCs in India hire for, what each one builds, the skills each needs and how to choose the track that fits your background.
An AI engineer roadmap across eight skill domains: what to learn first, what each role needs, and what you can skip for the job you want.
How to structure an AI engineer resume for GCC roles: summary, skills, experience and projects, and what a screener checks in the first read.
How to get a job in a GCC in India: choose a target role, find your gap, build proof, fix your resume, get referrals and prepare for interviews.
The typical GCC interview process for AI engineering roles: five kinds of round, what each one tests, how long it takes and how to prepare for each.
A step-by-step plan to move from a service company to a GCC: choose a role, find your gap, build proof, fix your resume, get referrals, pass interviews.
What a Global Capability Centre is, where they hire and how the work differs.
Seven GCC myths tested against reality: back-office work, support-only roles, night shifts, job security, growth ceilings and who actually gets hired.
GCC vs product company vs startup: a decision guide for engineers in India, compared on stability, scope, learning and risk, with clear rules.
GCC vs service company, compared fairly: who owns the work, how teams are staffed, how interviews and growth differ, and which one suits you.
The seven AI engineering tracks at GCCs and how to pick yours.
The AI architect role at a GCC explained: scope, system design, build versus buy, stakeholder work, the skills expected and how senior engineers move into it.
What an AI backend engineer does at a GCC, why Java, .NET and Node developers fit the role, the skills to add and how to make the switch with proof of work.
What an AI data engineer does at a GCC: pipelines, data quality and features for models, the skills needed, and how ETL and data engineers can move into it.
What to learn, in what order, and how deep to go.
AI agents explained in plain terms: how tool use and the agent loop work, which guardrails matter, and when a fixed workflow is the better choice.
AI portfolio projects that earn interviews share four things: real data, honest evaluation, deployment and a clear README. Project ideas for each AI role.
LLM evaluation in practice: build a golden set, choose metrics, use LLM-as-judge with care, run regression tests and connect offline scores to online results.
A resume, LinkedIn profile and GitHub that survive a GCC screen.
What an ATS does and does not do, how to format an ATS-friendly resume, and how to use job description keywords without stuffing.
How to set up a GitHub portfolio for AI roles: which repos to pin, what a README needs, how commit history reads, and what to remove.
Turn a service company resume from task lists into outcomes, describe client projects without breaking confidentiality, and show ownership.
Where the openings are, how to read them and how to get referred.
A GCC companies in India list is too long to apply to. Here is how to cut it to 15 target companies by industry, city, role fit and tier, and track them.
How to get a GCC referral: why referrals matter, who to ask, how warm and cold requests differ, and what a referrer needs from you.
How to read a job description for an AI role: separate must-haves from nice-to-haves, decode the level and the stack, and decide when to apply anyway.
The rounds, what each one tests and how to prepare for it.
How to answer behavioural interview questions at GCCs: the themes interviewers score, STAR without sounding scripted, and stories service engineers have.
What a coding interview for AI engineer roles covers at GCCs: how much DSA each role needs, Python fluency, SQL and practical coding rounds, with a plan.
Nine representative GenAI interview questions on RAG, agents, evaluation and production, each with the answer outline a strong candidate would give.
Switching from services, starting as a fresher, offers and notice periods.
GCC jobs for freshers, explained: campus and off-campus routes, what freshers are judged on, which projects and internships count, and a plan.
GCC salary negotiation explained step by step: the parts of an offer, when to discuss numbers, what to say to the recruiter and the mistakes to avoid.
How to handle a long notice period in a job switch, how buyout works in general terms, whether to accept a counter-offer, and how to compare two offers.