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REQUIREMENT_ID_192 • 3-DAY_ACTIVE_POLICY

Apprentice Software Engineer

Company
Company SymphonyAI
Type
Opportunity Type Internship
Salary
Stipend / Salary Rs 15,000/month
Location
Location Bengaluru, India
Posted Date
Posted Date Sep 11, 2026
C# .NET JavaScript TypeScript Angular HTML CSS Python SQL REST API Azure AKS Functions SQL Server Snowflake PostgreSQL Docker Git Pandas NumPy Generative AI LLMs
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Aptitude Practice Questions Open Resource ↗
Curated quantitative and logical reasoning problems to sharpen the skills needed for the online screening test.
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Company Interview Preparation Guide Open Resource ↗
Comprehensive guide covering typical interview formats, technical question banks and experience‑based tips for landing a role at SymphonyAI.
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Comprehensive Interview Prep Portal Open Resource ↗
Resource hub with mock interview videos, coding challenges and HR round strategies useful for the SymphonyAI selection process.
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Algorithm Problem Set Open Resource ↗
Extensive collection of coding problems to practice data structures and algorithms, essential for the technical interview.

Bachelor’s or Master’s degree in Computer Science, Information Technology, MCA or Engineering (any branch). Recent graduates or final‑year students (batch 2025‑2026) preferred. Minimum 60% aggregate (or CGPA 6.0/10) is generally expected. No active backlogs at the time of joining. Candidates should demonstrate strong analytical abilities, basic programming knowledge and a willingness to learn new technologies.

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Round 1: Online aptitude & logical reasoning test
2
Round 2: Technical interview covering C#, .NET, SQL and basic data structures
3
Round 3: HR interview focusing on cultural fit and career aspirations
SymphonyAI is a fast‑growing AI‑driven technology company that builds end‑to‑end solutions for retail, supply‑chain, and enterprise analytics. Headquartered in the United States with a strong engineering presence in India, SymphonyAI combines deep domain expertise with cutting‑edge machine‑learning platforms to help Fortune‑500 brands make smarter, data‑backed decisions. The Bengaluru R&D Development Team focuses on next‑generation Category Planning and Retail Analytics products, delivering cloud‑native, AI‑infused services that power assortment optimization, planogram automation, space analytics and category insights for global retailers. The Apprentice Software Engineer role is a 12‑month paid apprenticeship designed for recent graduates or final‑year students eager to launch a career in full‑stack software engineering. Apprentices will be embedded within a cross‑functional squad of senior engineers, product managers and QA specialists, gaining hands‑on experience across the entire product lifecycle – from UI design in Angular to backend services in .NET/C#, REST API development, SQL query optimisation, and cloud deployment on Microsoft Azure. The program emphasizes learning by doing, with mentorship, code reviews, and regular sprint ceremonies that mirror industry‑standard Agile practices. Key responsibilities include: 1. Assist in designing and building responsive web interfaces using Angular, HTML, CSS and JavaScript/TypeScript. 2. Develop, test and maintain .NET/C# backend services and RESTful APIs. 3. Write clean, modular, and well‑documented code following industry best practices. 4. Craft efficient SQL queries for SQL Server, Snowflake and PostgreSQL, focusing on performance and scalability. 5. Debug and resolve issues across the frontend, backend and database layers using systematic root‑cause analysis. 6. Participate in building and monitoring data pipelines and analytics workflows on Azure Functions and AKS. 7. Contribute to unit and integration test suites to ensure code quality. 8. Collaborate in Agile ceremonies – sprint planning, daily stand‑ups, retrospectives and code reviews. 9. Support the creation of intelligent insights for category planning using Python‑based data processing and emerging Generative AI tools. 10. Document technical decisions and share knowledge with the wider team. The tech stack spans Angular, TypeScript, C#, .NET Core, Azure AKS, Azure Functions, SQL Server, Snowflake, PostgreSQL, Docker, Git, and Python libraries such as Pandas and NumPy. Exposure to Generative AI frameworks like LangChain and LLM APIs adds a futuristic edge. Successful apprentices can transition into full‑time Software Engineer roles, with clear growth paths into senior engineering, solution architecture, or AI‑product specialist tracks. Joining SymphonyAI offers the chance to work on high‑impact retail analytics products, learn from seasoned technologists, and be part of a culture that values curiosity, continuous learning and rapid innovation.

SymphonyAI — Data Analytics & SQL Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC 📖
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource ↗
COMPANY GUIDE 🎯
SymphonyAI Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for SymphonyAI and off-campus tech roles.

Open Resource ↗
MOCK TESTS & PAPERS 📝
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource ↗
CODING PRACTICE 💻
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource ↗
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (C#, .NET, JavaScript, TypeScript, Angular, HTML, CSS, Python, SQL, REST API, Azure, AKS, Functions, SQL Server, Snowflake, PostgreSQL, Docker, Git, Pandas, NumPy, Generative AI, LLMs) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
SymphonyAI Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between WHERE and HAVING clauses in SQL? Answer ▼
Model Answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer ▼
Model Answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer ▼
Model Answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer ▼
Model Answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer ▼
Model Answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Why do you want to join SymphonyAI as a Apprentice Software Engineer?
Preparation Tip: Highlight SymphonyAI's market reputation, recent tech innovations, and how your skills in C# directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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