Appsierra Group currently has 39 live openings on OnJob.io, concentrated in Software Engineer, Data Engineer and Business Development Manager roles. There are no leaked or company-specific questions here — prepare with the general, role-based interview rounds and most-asked questions for those role types below.
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 Appsierra Group is currently hiring for. Your real Appsierra Group interview may differ.
What to expect when interviewing for Software Engineer, Data Engineer and Business Development Manager roles at companies like Appsierra Group
Appsierra Group is currently advertising these role types on OnJob.io. Each guide is the general interview structure and most-asked questions for that role.
General Software Engineer interview prep
5 live roles at Appsierra Group
Coding, data structures, algorithms and system design — the core software engineering loop used by product companies and startups across India.
Typical Software Engineer interview rounds
01
Online assessment
Timed coding problems on arrays, strings and hashing on HackerRank or HackerEarth.
02
DSA / problem solving
1–2 live coding rounds on data structures, algorithms and complexity analysis.
03
System design
Designing a scalable service (mid/senior); low-level design for early-career.
04
Hiring manager / culture fit
Past projects, ownership, behavioural questions and team fit.
Commonly asked Software Engineer questions
Reverse a linked list, both iteratively and recursively.
Find the two numbers in an array that add up to a target sum.
Detect whether a linked list has a cycle.
What is the difference between a process and a thread?
Explain time and space complexity (Big O) with examples.
How does a hash map work internally, and what happens on collisions?
Find the longest substring without repeating characters.
What is the difference between an array and a linked list?
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
01
LLM & GenAI fundamentals
How transformers and LLMs work, tokens, embeddings, context windows and prompting.
02
RAG & application design
Retrieval-augmented generation, vector databases, chunking and grounding.
03
Coding round
Python coding plus building an API around an LLM with a framework like LangChain.
04
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?