Magnit has announced its latest recruitment drive for the position of Associate Software Engineer in Bangalore, Karnataka. This opportunity is specially designed for fresh graduates who are passionate about Artificial Intelligence, Machine Learning, and modern software technologies. Candidates looking to start their careers in AI-powered applications, Large Language Models (LLMs), and intelligent automation systems can take advantage of this excellent opportunity.
Interested and eligible candidates can apply online before the application deadline. Detailed information regarding eligibility criteria, responsibilities, required skills, and the application process is provided below.
Job Overview
| Particulars | Details |
|---|---|
| Company Name | Magnit |
| Job Role | Associate Software Engineer |
| Job ID | Req #2541 |
| Qualification | Bachelor’s Degree / Master’s Degree |
| Batch | Recent Graduates |
| Experience | Freshers |
| Job Category | IT Jobs |
| Job Location | Bangalore, Karnataka |
| Salary | Best in Industry |
| Last Date to Apply | 1 August 2026 |
About Magnit
Magnit is a leading workforce management and technology company that helps organizations optimize talent acquisition and workforce operations through innovative technology solutions. The company leverages Artificial Intelligence, Machine Learning, and advanced automation tools to deliver next-generation workforce solutions to global clients.
Joining Magnit provides fresh graduates with the opportunity to work on cutting-edge AI technologies while collaborating with experienced engineers and industry experts.
Roles and Responsibilities
As an Associate Software Engineer, you will work closely with the AI/ML engineering team to build intelligent systems and enterprise-grade automation platforms.
Key responsibilities include:
- Develop and test AI and Machine Learning workflows under the guidance of senior engineers.
- Assist in designing and implementing intelligent automation solutions.
- Work with Large Language Models (LLMs) such as OpenAI, Claude, and Gemini.
- Support Prompt Engineering and Retrieval-Augmented Generation (RAG) implementations.
- Participate in building document processing pipelines using OCR technologies.
- Develop backend APIs and microservices for AI-powered applications.
- Collaborate with cross-functional teams to integrate AI models with external systems.
- Contribute to software development, debugging, testing, and deployment activities.
- Analyze data and improve AI model performance through continuous experimentation.
Eligibility Criteria
Candidates must fulfill the following requirements:
Educational Qualification
- Bachelor’s Degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or related fields.
- Master’s Degree candidates are also eligible to apply.
- Fresh graduates are encouraged to apply.
Experience
- Freshers can apply.
- Prior internship experience in software development, AI, or Machine Learning will be an added advantage.
Required Skills
Candidates should possess the following technical skills:
Programming Skills
- Strong knowledge of Python programming.
- Good understanding of coding standards and software development practices.
Machine Learning Knowledge
- Basic understanding of Machine Learning concepts.
- Familiarity with frameworks such as:
- TensorFlow
- PyTorch
- Scikit-learn
Computer Science Fundamentals
- Data Structures and Algorithms
- Problem Solving Techniques
- Object-Oriented Programming Concepts
Additional Preferred Skills
- Knowledge of Natural Language Processing (NLP).
- Exposure to text classification, summarization, or chatbot development.
- Understanding of Prompt Engineering concepts.
- Basic knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
- Familiarity with REST APIs and backend development.
Why Join Magnit?
- Opportunity to work on cutting-edge AI and Machine Learning technologies.
- Exposure to Large Language Models (LLMs) and Generative AI.
- Learn from experienced engineering professionals.
- Work on real-world enterprise AI applications.
- Excellent career growth opportunities.
- Collaborative and innovation-driven work culture.
Selection Process
The selection process may include:
- Application Screening
- Online Assessment
- Technical Interview
- HR Interview
- Final Selection
The exact hiring process may vary depending on the candidate profile and business requirements.
Work Location
Bangalore, Karnataka, India
Selected candidates will be required to work from Magnit’s Bangalore office and collaborate with global engineering teams.
How to Apply for Magnit Recruitment 2026?
Interested candidates can apply online through the official application portal before the closing date.
Apply Link
https://jobs.dayforcehcm.com/en-US/prounlimited/CANDIDATEPORTAL/jobs/6767?src=LinkedIn
Frequently Asked Questions (FAQs)
Who can apply for Magnit Recruitment 2026?
Fresh graduates with a Bachelor’s or Master’s degree and a strong interest in Artificial Intelligence, Machine Learning, and Software Engineering can apply.
Is this job open for freshers?
Yes. The Associate Software Engineer position is specifically targeted toward fresh graduates.
What programming language is required?
Candidates should have strong knowledge of Python programming.
Which Machine Learning frameworks should candidates know?
Basic understanding of TensorFlow, PyTorch, or Scikit-learn is preferred.
Where is the job located?
The position is based in Bangalore, Karnataka, India.
What is the last date to apply?
The last date to submit applications is 1 August 2026.
Conclusion
Magnit Recruitment 2026 presents an excellent opportunity for fresh graduates looking to build a successful career in Artificial Intelligence and Software Engineering. Candidates will gain hands-on experience with Machine Learning, Large Language Models, Prompt Engineering, and enterprise AI applications while working alongside experienced professionals. Interested candidates are encouraged to apply as early as possible and begin their journey with one of the leading technology-driven workforce solutions companies.