Interview preparation

Simpplr interview process & preparation

Simpplr currently has 3+ live openings on OnJob.io, concentrated in AI Engineer and Product Manager roles. There are no leaked or company-specific questions here — instead, prepare with the general, role-based interview rounds and most-asked questions for those role types below, then practise them free with OnJob's AI mock interview.

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Honest note: OnJob.io does not publish leaked or company-confidential interview questions. The guides below are general, role-based preparation — the standard rounds and commonly-asked questions for the role types Simpplr is currently hiring for. Use them to prepare; your real Simpplr interview may differ.

What to expect when interviewing for AI Engineer and Product Manager roles at companies like Simpplr

Simpplr is currently advertising these role types on OnJob.io. Each guide is the general interview structure and most-asked questions for that role — prepare with it, then rehearse free with the AI mock interview.

General AI Engineer interview prep

1 live role at Simpplr

LLMs, prompt engineering, RAG and AI application development — the fast-growing generative-AI engineering interview at Indian product startups, GCCs and AI-first companies. Distinct from a classic ML engineer: the focus is building on top of foundation models, not training them.

Typical AI Engineer interview rounds

  1. 1 LLM & GenAI fundamentals. How transformers and LLMs work, tokens, embeddings, context windows and prompting.
  2. 2 RAG & application design. Retrieval-augmented generation, vector databases, chunking and grounding.
  3. 3 Coding round. Python coding plus building an API around an LLM with a framework like LangChain.
  4. 4 System design & evaluation. Designing a production AI feature, handling cost, latency, safety and evaluation.

Commonly-asked AI Engineer questions

  • What is the difference between fine-tuning, prompt engineering and retrieval-augmented generation?
  • Explain how RAG works end to end, from a user query to a grounded answer.
  • What are embeddings and how are they used in semantic search?
  • What is a vector database and how does similarity search work?
  • What is a context window, and how do you handle inputs that exceed it?
  • What causes hallucinations in LLMs and how do you reduce them?
  • What is the difference between temperature and top-p sampling?
  • How would you chunk documents for a RAG pipeline, and why does chunk size matter?
Full AI Engineer prep AI mock interview

General Product Manager interview prep

1 live role at Simpplr

Product sense, analytical thinking, prioritisation and metrics — the PM interview for product companies, startups and consumer apps.

Typical Product Manager interview rounds

  1. 1 Product sense / design. Design or improve a product for a target user.
  2. 2 Analytical / metrics. Define success metrics, diagnose a metric drop, size a market.
  3. 3 Execution & prioritisation. Roadmaps, trade-offs and stakeholder management.
  4. 4 Behavioural / leadership. Past products shipped, conflict resolution and influence.

Commonly-asked Product Manager questions

  • How would you improve our product (e.g. WhatsApp, Swiggy, or our app)?
  • Design a product for [a specific user group, e.g. delivery riders or senior citizens].
  • What is your favourite product and why? How would you improve it?
  • Daily active users dropped 15% overnight — how do you investigate?
  • How would you decide what to build next with limited engineering resources?
  • What metrics would you track for a feature you just launched?
  • How would you estimate the market size for [a product] in India?
  • Walk me through how you'd prioritise a backlog of 20 feature requests.
Full Product Manager prep AI mock interview

Rehearse your Simpplr interview, free

Run a realistic AI mock interview for your target role and get instant feedback on your answers — or take a timed mock test to check your fundamentals before the real thing.

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Interview prep at other companies

Simpplr interview — FAQs

How do I prepare for a Simpplr interview?

Prepare by role: identify the role you're applying for, then practise the standard interview rounds and most-asked questions for that role type. Simpplr is currently hiring for AI Engineer and Product Manager roles, so focus there. Use OnJob's free AI mock interview to rehearse with instant feedback, and review the role-specific question lists below. These are general role-based questions, not leaked Simpplr questions.

What questions are asked in a Simpplr interview?

We don't publish leaked or company-specific Simpplr questions. What we do provide is the general, frequently-asked interview questions for the role types Simpplr hires for — such as AI Engineer and Product Manager roles. For example, AI Engineer interviews commonly cover: What is the difference between fine-tuning, prompt engineering and retrieval-augmented generation? Explain how RAG works end to end, from a user query to a grounded answer. What are embeddings and how are they used in semantic search? Prepare with these general questions and OnJob's free AI mock interview.

How many rounds does a Simpplr interview have?

It depends on the role. A typical AI Engineer interview runs across 4 rounds — LLM & GenAI fundamentals, RAG & application design, Coding round, System design & evaluation. Round counts vary by company and seniority; treat this as the general structure to prepare for, not a guarantee of Simpplr's exact process.

Is Simpplr hiring right now?

Yes — Simpplr has 3+ live openings on OnJob.io, refreshed daily, mostly for AI Engineer and Product Manager roles. Browse the live Simpplr jobs and see your AI match score on each before you apply.

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