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REQUIREMENT_ID_1375 β€’ 3-DAY_ACTIVE_POLICY

Software Developer Intern (Backend)

Company
Company Revrag AI
Type
Opportunity Type Internship
Salary
Stipend / Salary Rs 15,000 per month
Location
Location Remote
Posted Date
Posted Date Today
Python FastAPI Flask Django REST APIs SQL PostgreSQL MySQL Git Docker AWS problem solving data structures algorithms
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Aptitude Practice Questions Open Resource β†—
Helps sharpen quantitative and logical reasoning needed for screening tests at RevRag AI.
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Company Interview Preparation Guide Open Resource β†—
Provides insights into typical interview patterns and questions asked by tech startups like RevRag AI.
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Comprehensive Interview Prep Resource Open Resource β†—
Covers coding, data structures, and system design fundamentals essential for the technical round.
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Algorithm Problem Set Open Resource β†—
Offers a curated list of coding problems to practice for the online assessment.

Currently pursuing or recently completed B.Tech/M.Tech in Computer Science, Information Technology, or a related field; minimum 60% aggregate (or CGPA 6.0/10); no active backlogs; batch years 2024‑2027 are preferred; strong foundation in programming and data structures.

1
Round 1: Online coding test
2
Round 2: Technical interview (coding & system design)
3
Round 3: HR interview
RevRag AI is an emerging AI‑driven startup focused on building voice‑enabled assistants and in‑app AI agents that transform how users interact with digital products. Founded by a team of seasoned engineers and AI researchers, the company combines deep expertise in natural language processing, large language models, and scalable backend infrastructure to deliver real‑time conversational experiences. Operating from a remote‑first model, RevRag AI attracts talent across India, offering a collaborative culture where every engineer’s contribution directly impacts product performance and user satisfaction. As a Software Developer Intern (Backend), you will join the core engineering team and work on production‑grade services that power the company’s voice and AI platforms. This is not a sandbox project; you will write, test, and ship code that runs for real customers. You will gain hands‑on experience with modern Python frameworks, cloud deployments, and data pipelines while collaborating with senior engineers, product managers, and AI scientists. The internship is designed to accelerate your learning curve, giving you ownership of meaningful features and exposure to the full software development lifecycle in a high‑growth startup. **Key Responsibilities** 1. Design, develop, and enhance backend APIs and micro‑services using Python frameworks such as FastAPI, Flask, or Django. 2. Implement data models, write efficient SQL queries, and integrate with databases like PostgreSQL or MySQL. 3. Build and maintain integrations with external services, including cloud storage, messaging queues, and AI inference endpoints. 4. Write clean, testable, and production‑ready code with unit and integration tests. 5. Debug, troubleshoot, and resolve production issues to improve system reliability. 6. Participate in code reviews, contribute to architectural discussions, and follow best practices for version control and CI/CD. 7. Document APIs, design decisions, and deployment procedures for internal consumption. 8. Assist in setting up containerized environments using Docker and orchestrate deployments on cloud platforms (AWS/GCP). 9. Collaborate with the AI team to expose model inference results through RESTful endpoints. 10. Contribute to internal tooling that streamlines developer workflows and monitoring. **Tech Stack**: Python, FastAPI/Flask/Django, REST APIs, PostgreSQL/MySQL, Docker, Git, AWS (or GCP), CI/CD pipelines. **Growth Path**: Successful interns can transition to full‑time Software Engineer roles, gaining deeper responsibilities such as leading service design, owning critical product modules, and eventually moving into senior or lead engineering positions. The startup environment offers rapid skill acquisition, mentorship from seasoned engineers, and visibility across product and business functions. **Why Join RevRag AI?** - Direct impact: Your code powers live AI products used by thousands of users. - Learning at scale: Work with cutting‑edge voice AI technologies and modern backend architectures. - Mentorship: Close interaction with senior engineers and AI researchers accelerates professional growth. - Flexible remote work: Balance productivity with personal commitments while staying connected to a vibrant engineering community. - Startup culture: Fast‑paced, merit‑based, and open to innovative ideas, giving you space to experiment and lead.

Revrag AI β€” Data Analytics & SQL Interview Guide

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

APTITUDE & LOGIC πŸ“–
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 β†—
COMPANY GUIDE 🎯
Revrag AI Interview Preparation Corner

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

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

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

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

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

Open Resource β†—
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 (Python, FastAPI, Flask, Django, REST APIs, SQL, PostgreSQL, MySQL, Git, Docker, AWS, problem solving, data structures, algorithms) & 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
Revrag AI 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 β–Ό
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 β–Ό
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 β–Ό
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 β–Ό
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 β–Ό
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 Revrag AI as a Software Developer Intern (Backend)?
Preparation Tip: Highlight Revrag AI's market reputation, recent tech innovations, and how your skills in Python 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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