GitHub
Code · Plan & explain
Publish a project, review changes and explain how someone can reproduce your work.
All capabilities · Career signal & proof
Clear the AI-role interview loop
Explain past projects, answer role-specific technical questions, take-home tasks and system/product design rounds.
Explore 3 tools for this projectMarket relevance
Which roles ask for this — and how often
Share of job postings in India, per role, that name this capability.
No job posting names this. Interview rounds ask for it anyway — which is why it stays on the map, and why there is no share to show.
What employers mean
You should be able to…
- Explain a past project's architecture and decisions clearly under interview pressure
- Answer role-specific technical questions (eval design, RAG vs fine-tuning, cost trade-offs)
- Complete a take-home task within the given time budget and document assumptions
- Handle a system/product design round for an AI feature from a blank page
- Answer 'tell me about a failure' questions honestly with a concrete lesson learned
- Ask good clarifying questions before diving into a design or take-home task
Needs first: Publish a portfolio employers can verify
Learn — free, link-checked
The few resources that matter
Read · intermediate · 30 min · tryexponent.com
AI Product Manager Interview Questions
A real question bank (not generic PM questions) covering feasibility, metrics and trade-off framing for AI roles. — Exponent
Read · intermediate · 30 min · tryexponent.com
Forward Deployed Engineer Interview: The Definitive Guide
Maps almost 1:1 to what Indian GenAI startups (e.g. Sarvam AI-style roles) ask about running a client POC end to end. — Exponent
Use · intermediate · 60 min · pramp.com
Pramp free peer mock interviews
Free, live peer-to-peer mock interviews — the only way to practice explaining trade-offs out loud under time pressure. — Pramp
Tools for practice
Choose a tool for the job
Start with one tool for each part of your project. You don’t need to learn them all.
3 tools to explore
Google Docs
Plan & explain
Write a rubric, project story or decision brief that others can review and comment on.
Loom
Plan & explain · Video
Record a short walkthrough that explains a demo, decision or unexpected result.
Practices & references
- STAR project stories
- Mock interviews with a partner
Practice
Interview-readiness sprint: STAR stories + 2 mock interviews
Write STAR-format stories for your three strongest projects, covering at least one technical deep-dive, one stakeholder-communication story, and one failure with the lesson attached. Then run two mock interviews — a system-design round for an AI feature and a behavioural round — with a peer or on Pramp, and rewrite the stories against what actually did not land. Finish with a one-page cheat sheet summarising each project in three sentences.
Start from
Your three strongest projects and their commit histories — the raw material for the stories, and what an interviewer will push on
Milestones
- Write STAR stories for three projects, one of them a failure · ~2.5h
- Build the one-page cheat sheet summarising each project in three sentences · ~1.5h
- Run mock interview one — AI system design — and write down every question you fumbled · ~2.5h
- Run mock interview two — behavioural — and revise the stories against both sets of feedback · ~3.5h
Done when
- At least 3 STAR stories written covering technical, communication, and failure themes
- 2 mock interviews completed with a partner or platform, with notes on feedback received
- Stories are revised at least once based on mock-interview feedback
- A one-page 'project cheat sheet' exists summarizing each portfolio project in 3 sentences
Prove it
Evidence a recruiter can check
- Three STAR stories covering a technical deep-dive, a stakeholder call and a failure, each ending in a result you can name
- Dated feedback notes from two mock interviews, showing what changed between the first and the second
- A one-page project cheat sheet, three sentences per project, in the form you would re-read before a call
- A before/after of one story rewritten after a mock interviewer told you it did not land
Signal it
Ran a two-week interview sprint — three STAR project stories, a system-design mock and a behavioural mock — and rewrote every story against the feedback before entering real loops.
Interview
Questions you'll get asked
- Walk me through the architecture of your most complex portfolio project.
- Design an AI-powered feature for [X] — what would you build first and how would you evaluate it?
- Tell me about a project that failed or underperformed — what did you learn?
- How would you approach a take-home task if the requirements are ambiguous?
- What clarifying questions would you ask before starting a system design round for an AI chatbot?
- Walk me through how you'd evaluate whether an AI feature is ready to launch.