KASHII UPDATEZ Everyday Student Requirements & Python Coding Tutorials by Python Kashi
REQUIREMENT_ID_399 β€’ 3-DAY_ACTIVE_POLICY

Software Engineering Intern

Company
Company Abstrabit Technologies
Type
Opportunity Type Internship
Salary
Stipend / Salary β‚Ή20,000 – β‚Ή30,000 per month
Location
Location Bangalore, Karnataka, India
Posted Date
Posted Date Today
TypeScript JavaScript Node.js React Next.js REST APIs Git databases cloud services AI APIs problem solving debugging communication
πŸ“–
Aptitude Practice Questions Open Resource β†—
Helps you sharpen quantitative and logical reasoning skills essential for the online coding assessment at Abstrabit.
πŸ“–
Company Interview Preparation Guide Open Resource β†—
Provides curated interview experiences and question banks that are useful for technical and HR rounds at AI‑focused startups.
πŸ“–
Comprehensive Interview Prep Resource Open Resource β†—
Offers structured study plans, mock tests, and interview tips to boost confidence for the coding and technical interviews.
πŸ“–
Algorithm Problem Set Open Resource β†—
A collection of coding problems to practice data structures and algorithms, directly aligning with the assessment format used by many tech firms.

Eligible candidates must be pursuing or have completed a Bachelor’s/Master’s degree in Computer Science, Information Technology, Electronics & Communication, or a related engineering discipline. Minimum aggregate of 60% (or CGPA 6.0/10) is preferred. Candidates from the 2024‑2027 graduating batches are encouraged to apply. No active backlogs are allowed at the time of joining. Strong programming fundamentals and a demonstrable software project (academic, personal or hackathon) are mandatory.

1
Round 1: Online coding assessment (focus on data structures, algorithms, and basic programming)
2
Round 2: Technical interview (deep dive into projects, system design basics, and AI integration concepts)
3
Round 3: HR interview (culture fit, motivation, and internship expectations)
Abstrabit Technologies Pvt Ltd is a fast‑growing private AI engineering firm headquartered in Bangalore. The company focuses on building end‑to‑end AI‑powered products that help enterprises automate decision‑making, enhance customer experiences, and unlock new business models. By operating across the entire AI stack – from model training and inference to workflow orchestration and UI integration – Abstrabit positions itself as a one‑stop solution for AI adoption. The culture at Abstrabit encourages curiosity, rapid prototyping, and cross‑functional collaboration, allowing engineers to experiment with cutting‑edge models while delivering production‑grade software. The Software Engineering Intern role is designed for fresh talent eager to dive into real‑world product development. Interns will primarily work on the application layer of Abstrabit’s AI platforms, contributing to both frontend and backend components. This is a hands‑on position where you will write production code, debug complex issues, and gradually own larger feature sets under the mentorship of senior engineers. Exposure to AI APIs, large language models (LLMs), and Retrieval‑Augmented Generation (RAG) pipelines will give you a unique blend of software engineering and AI integration experience. **Key Responsibilities** 1. Design and implement frontend features using React and Next.js. 2. Develop backend services with Node.js and TypeScript. 3. Build and consume RESTful APIs for internal and external integrations. 4. Work with relational and NoSQL databases for data persistence. 5. Implement authentication, file storage, and security best practices. 6. Integrate third‑party services and AI inference APIs into product workflows. 7. Create and maintain RAG pipelines and AI agents for intelligent data retrieval. 8. Write unit and integration tests to ensure code reliability. 9. Participate in code reviews, incorporate feedback, and follow best‑practice coding standards. 10. Deploy applications on cloud platforms and monitor performance. **Technology Stack**: TypeScript, JavaScript, Node.js, React, Next.js, REST APIs, Git, cloud services (AWS/GCP/Azure), databases (SQL/NoSQL), AI APIs, LLMs, RAG pipelines. **Growth Path**: Successful interns can transition to full‑time Software Engineer roles, with opportunities to specialize in AI product engineering, backend services, or frontend UI/UX. The company supports continuous learning through internal workshops, mentorship programs, and conference sponsorships. **Why Join Abstrabit?** - Work on cutting‑edge AI products that have real market impact. - Gain exposure to both software development and AI model integration. - Collaborative environment with seasoned engineers who mentor and invest in your growth. - Competitive stipend and flexible work mode (on‑site or remote) based on project needs. - Clear career progression and the chance to become a core contributor to flagship AI solutions.

Abstrabit Technologies β€” AI & Machine Learning 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 🎯
Abstrabit Technologies Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Abstrabit Technologies 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 (TypeScript, JavaScript, Node.js, React, Next.js, REST APIs, Git, databases, cloud services, AI APIs, problem solving, debugging, communication) & 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
Abstrabit Technologies Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the bias-variance tradeoff and how do you prevent overfitting? Answer β–Ό
Model Answer: High bias leads to underfitting (oversimplified model), high variance leads to overfitting (captures noise). Mitigate using L1/L2 Regularization, Dropout, Cross-Validation, and data augmentation.
Explain the difference between Precision, Recall, and F1-Score. Answer β–Ό
Model Answer: Precision = TP / (TP + FP) (correctness of positive predictions). Recall = TP / (TP + FN) (coverage of actual positives). F1-Score is the harmonic mean of Precision and Recall.
How does Gradient Descent work and what is the role of Learning Rate? Answer β–Ό
Model Answer: It optimizes loss functions by iteratively moving weights in the direction of negative gradient. A large learning rate may overshoot the minimum; a small rate causes slow convergence.
What is the difference between Supervised, Unsupervised, and Self-Supervised learning? Answer β–Ό
Model Answer: Supervised uses labeled data (X -> y). Unsupervised finds hidden patterns in unlabeled data (clustering/PCA). Self-supervised generates labels from input data (e.g. masked language modeling in BERT/Transformers).
Why do you want to join Abstrabit Technologies as a Software Engineering Intern?
Preparation Tip: Highlight Abstrabit Technologies's market reputation, recent tech innovations, and how your skills in TypeScript 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.

More Fresh Requirements in Software & Tech

View Category Feed β†—
Abstrabit Technologies
Software Engineering Intern
Apply Apply Now β†—
Chat Chat with Kashii