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🔥 Viewed by 78 students today✓ Verified Listing

Developer, AI

MagnaCompetition: Moderate • Entry Level
|Pune, IN|By CampusToCareer Editorial Team|Posted 1 day ago|Last verified 1 day ago
✓ Company career page verified✓ Application route verifiedLast checked on Jun 25, 2026
💼 Experience Required
0-1 Years
🕒 Employment Type
Full-time
🎓 Target Batch
Any
🚀 Role Category
Fullstack
📌 How to Apply
Click on the Apply button
💰 Salary
10-20 LPA
Skills Recommended
AI/MLGenerative AILLMAzure OpenAI StudioAzure Cognitive ServicesSQL databasescomplex data modelsRetrieval-Augmented Generation (RAG)prompt engineeringtestingmonitoringand performance optimization
Career Guide • 7 min preparation guide

Complete preparation guide for Developer, AI

Magna is hiring for Developer, AI (Full-time) in Pune, IN, targeting candidates from the Any batch with 0-1 Years experience. The listed compensation is 10-20 LPA. Key skills mentioned in the listing include AI, ML, Generative AI, LLM. This page goes beyond the raw listing so students can understand what Magna usually expects for this role, how to prepare for their screening process, and how to apply more thoughtfully instead of forwarding a generic resume.

AI editorial content is being generated for this role. Check back shortly for personalized interview questions, salary insights, and skill breakdowns.

Application trackerSkill learning pathsDaily coding practice

Role Preparation Guide

CampusToCareer Editorial

This page is built as a career preparation guide for Developer, AI at Magna. Read the editorial sections below for company context, skill breakdowns, interview preparation, and salary insights. The original employer job description is preserved at the bottom of this page for reference.

💡 Editor's Comprehensive Career Guide for this Role

🏢 About Magna & Culture

Magna is a leading organization in the technology and services industry, committed to driving innovation and digital transformation. They provide a dynamic and supportive environment for early-career professionals to learn, collaborate, and build solutions at scale. Freshers at Magna are integrated into production teams with structured onboarding and mentorship.

📈 Career Progression Pathway

Software Engineers can quickly transition from SDE 1 to SDE 2, Tech Lead, Principal Engineer, or Software Architect, directing product architecture and mentoring junior developers.

💰 Salary & Compensation Insights

Software development remains one of the highest-paying entry domains, with stipends and packages scaling rapidly depending on backend mastery and problem-solving capability.

⚡ Recruitment & Selection Process

1
Online Coding Assessment2-3 standard data structures problems (typically arrays, strings, dynamic programming) to solve within 90 minutes.
2
Technical Interview 1DSA coding review, dry runs, optimization of time/space complexity, and code clean-up.
3
Technical Interview 2System design basics (APIs, databases, caching layers) and project walkthrough.
4
HR & Culture RoundLeadership Principles, scenario based behavioral questions, and salary discussion.

CampusToCareer Analysis

⭐ Original AnalysisLast Verified: Jun 25, 2026

🎯 Should You Apply?

✓ Suitable for:

  • Computer Science graduates
  • Self-taught coders with strong portfolios
  • Students interested in software development

✗ Not ideal if:

  • Seeking non-technical support roles
  • Comfortable only with drag-and-drop tool designs

⚡ Difficulty Level

Application DifficultyHard
Expected CompetitionVery High
Interview Rounds3–5 rounds
Note: These stats are evaluated by our editorial team based on past application metrics and hiring trends.

🎓 What You Will Learn

Skills you may develop through this role:

  • AI/ML
  • Generative AI
  • LLM
  • Production-grade software construction

📝 How to Prepare

  1. Practice medium-level coding questions (arrays, strings, trees) on LeetCode
  2. Build fullstack projects demonstrating standard backend/frontend interfaces
  3. Understand database indexes, joins, and normalizations
  4. Be ready to draw and explain your project system designs

📄 Resume Match Tips

Highlight these on your resume to stand out:

  • List your GitHub profile link with pinned project repositories
  • Highlight competitive programming ratings or coding certificates
  • Clearly list tech stacks (e.g. React, Express) next to each project description
⚠️

Reality Check

This is a high-intensity software coding role. Technical assessment rounds can be demanding, and you will be expected to learn large codebases quickly.

❓ Frequently Asked Questions

Editorial Analysis Disclaimer: The opinions expressed in this CampusToCareer Analysis are formulated by our platform editors to guide students. Please review the official company listing before applying.
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Reference Only

Original Job Description

The text below is preserved from the employer's listing for verification. CampusToCareer editorial content above is the primary guide for preparing your application.

Job Description

Developer, AI

Apply

locations

Pune, IN

time type

Full time

posted on

Posted 30+ Days Ago

job requisition id

R00242379

Job descriptions may display in multiple languages based on your language selection.

What we offer:

At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

Group Summary:

Cosma provides a comprehensive range of body, chassis and engineering solutions to global customers. Through our robust product engineering, outstanding tooling capabilities and diverse process expertise, we continue to bring lightweight and innovative products to market.

Job Responsibilities:

We are building fully connected systems to achieve operational excellence and flawless launches – help us:

Collaborate closely with product managers, stakeholders, data scientists, and software engineers to design and deliver AI/ML and Generative AI solutions aligned to business objectives

Design, build, deploy, and maintain LLM-based applications and AI agents using Azure OpenAI Studio and Azure Cognitive Services

Develop and manage secure integrations between AI models, enterprise applications, APIs, and external services

Build and maintain robust data pipelines to connect, extract, transform, and load (ETL) structured and unstructured data from multiple enterprise data sources

Implement and optimize Retrieval-Augmented Generation (RAG) pipelines to enhance model context, accuracy, and relevance

Perform model tuning, prompt engineering, testing, monitoring, and performance optimization to ensure scalable and reliable AI solutions

Support business decision-making and operational improvements through AI-driven insights, experimentation, and data analysis

Develop, test, and deploy AI services, APIs, and microservices following enterprise engineering and DevOps best practices

Work with SQL databases and complex data models to support AI workflows, training, and inference

Monitor and improve system performance, latency, reliability, security, and compliance with enterprise governance standards

Create and maintain technical documentation for AI solutions, APIs, data pipelines, and system architecture.

Explain technical concepts, AI capabilities, and analytical insights clearly to both technical and non-technical audiences

Support multiple projects in a fast-paced, agile development environment

Participate in DevOps processes to track development, testing, deployment, and production support activities

Respond to production issues, user inquiries, and enhancement requests related to AI applications and services

Perform additional duties as assigned

Act with honesty and integrity and make ethical business decisions in compliance with organizational policies and procedures

Awareness, Unity, Empowerment:

At Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

AI-Assisted Screening Disclosure

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.

Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.

Worker Type:

Regular / Permanent

Group:

Cosma International