Join a company that has evolved from agile software development into a global AI innovation partner, helping enterprises transform ideas into measurable business outcomes.
Job Overview
| Particulars | Details |
|---|---|
| Position | QA Engineer | AI/ML Engineer | Full Stack AI Engineer |
| Company | MAGURE |
| Job Type | |
| Experience | 2 - 7 years |
| Category / Department | IT |
| Application Mode |
🏢 About MAGURE
Building Future-Ready Enterprises Through Scalable AI Innovation
MAGURE helps global enterprises innovate, scale, and transform through artificial intelligence and enterprise-grade software solutions.
Our Journey
Founded in 2017 as an agile application development platform, MAGURE quickly expanded into accelerated automation and intelligent systems development. By 2020, the company evolved into a dedicated AI-native product development organization, combining intelligence, scalability, and enterprise-grade engineering.
Today, MAGURE serves as a trusted end-to-end AI innovation partner, helping organizations worldwide move from Generative AI ideation to measurable business outcomes securely and efficiently.
Our Expertise
✅ AI-Native Product Development
✅ Generative AI Solutions
✅ Computer Vision
✅ Intelligent Automation
✅ Enterprise AI Consulting
✅ Scalable Software Engineering
✅ Strategic Digital Transformation
MAGURE India
MIG 10, Sector 2,
Shankar Nagar,
Raipur, Chhattisgarh – 492001,
India
💡 Editor's Note / Preparation Tip
📄 Resume Tips
✔ Customize your resume according to the specific role you're applying for.
✔ Highlight measurable achievements and project outcomes.
✔ Include GitHub, portfolio, Kaggle, or research profiles if available.
✔ Showcase relevant technologies, frameworks, and certifications.
✔ Clearly mention your contributions to projects rather than only listing technologies.
✔ Keep your resume concise, ATS-friendly, and achievement-focused.
🎯 Interview Preparation Tips
For QA Engineers
✔ Revise Automation Frameworks, Selenium, API Testing, and Test Strategies.
✔ Prepare examples of defect management and automation implementation.
✔ Review SDLC, STLC, Agile, and CI/CD concepts.
For AI/ML Engineers
✔ Review machine learning algorithms, deep learning architectures, NLP, and GenAI concepts.
✔ Prepare to explain projects, datasets, model selection, and optimization techniques.
✔ Practice Python coding and AI problem-solving scenarios.
For Full Stack AI Engineers
✔ Revise MERN stack concepts and full-stack architecture.
✔ Study LLMs, prompt engineering, RAG, and AI integrations.
✔ Prepare project demonstrations involving AI applications and APIs.
💡 Pro Tips
⭐ Showcase practical projects and real-world implementations.
⭐ Prepare to explain architecture decisions and technical trade-offs.
⭐ Demonstrate problem-solving and ownership mindset.
⭐ Keep yourself updated with the latest AI and software engineering trends.
⭐ Practice communication skills alongside technical preparation.
⭐ Include certifications, open-source contributions, and personal projects whenever possible.
📝 Job Description
🚀 #HIRING ALERT | Join MAGURE – Building Future-Ready Enterprises Through Scalable AI Innovation
🏢 Company: MAGURE
📍 Locations: Raipur | Mangalore
💼 Employment Type: Full-Time
🎯 Interview Process: 3 Technical Rounds
Open Positions
🔹 QA Engineer – 5 to 7 Years Experience (Automation Testing > Manual Testing)
🔹 AI/ML Engineer – 2 to 5 Years Experience (Deep Learning, NLP, Generative AI, Computer Vision)
🔹 Full Stack AI Engineer – 2 to 5 Years Experience (MERN Stack, AI, LLM Integration)
MAGURE is seeking experienced QA Engineers with strong expertise in automation testing. The ideal candidate will be responsible for designing, implementing, and maintaining test automation frameworks while ensuring the quality and reliability of enterprise-grade applications.
🎁 Employee Benefits
🏥 Medical Benefits
💰 Provident Fund (PF)
🎯 Performance-Based Bonuses
📈 Career Growth Opportunities
🤝 Collaborative Work Environment
🚀 Exposure to Advanced AI Technologies
📨 How to Apply
Interested candidates can share their updated resume at:
🤝 Referrals are highly appreciated.
If you're passionate about AI, automation, and building the next generation of intelligent enterprise systems, we'd love to hear from you.
🎯 Key Responsibilities
- ✓ Develop full-stack applications using the MERN stack.
- ✓ Integrate LLMs and generative AI services.
- ✓ Build AI-powered workflows and intelligent applications.
- ✓ Design scalable backend APIs and frontend experiences.
- ✓ Optimize performance and user experience.
- ✓ Collaborate with AI researchers and engineering teams.
- ✓ Develop and deploy AI/ML models.
- ✓ Build and optimize deep learning architectures.
- ✓ Work on NLP, GenAI, and computer vision solutions.
- ✓ Perform model training, evaluation, and optimization.
- ✓ Collaborate with product and engineering teams.
- ✓ Research and implement emerging AI technologies.
- ✓ Design and execute automated test cases.
- ✓ Develop and maintain automation frameworks.
- ✓ Perform functional, regression, integration, and API testing.
- ✓ Collaborate with developers to identify and resolve defects.
- ✓ Participate in release planning and quality assurance activities.
- ✓ Improve test coverage and automation efficiency.
💡 Required Qualifications & Skills
🚀 Career Guidance & Interview Insights
To help you succeed, we've compiled original preparation guides, resume keywords, and growth analytics for this category of role.
Joining as a QA Engineer | AI/ML Engineer | Full Stack AI Engineer offers a fantastic opportunity to work at the forefront of technological innovation. You will be exposed to modern software development lifecycles, collaborate with cross-functional product teams, and design scalable architectures that directly impact end-users. The continuous learning curve in tech ensures that your programming, debugging, and system engineering skills remain highly marketable and sharp.
The career roadmap in technology is highly rewarding. Typical progression starts as a Junior Software Engineer, moving to Associate Developer and then Senior Software Engineer (3-6 years). From there, professionals choose between an individual contributor track—becoming a Tech Lead, Staff Engineer, and Principal Architect—or a management track, advancing to Engineering Manager, Director of Engineering, and Chief Technology Officer (CTO).
Expected Technical & Behavioral Questions:
- Q1: How do you optimize database query performance?
Answer Tip: Talk about indexing strategies, query execution plan analysis, avoiding N+1 queries, and implementing caching layers (like Redis). - Q2: Explain the differences between Microservices and Monolithic architecture.
Answer Tip: Highlight scaling advantages, loose coupling, independent deployments, network latency considerations, and data consistency challenges in microservices. - Q3: How do you handle merge conflicts in Git?
Answer Tip: Explain checking out the local branch, pulling the latest main branch, running git merge, opening the conflicted files to resolve blocks manually, and committing the resolved merge.
To pass automated ATS (Applicant Tracking System) screening and catch the recruiter's eye, tailor your resume with the following tips:
- Keywords to include: Software Engineering, SDLC, OOP, CI/CD Pipelines, SQL databases, Agile, Unit Testing, Code Review, Cloud Architectures (AWS/Azure).
- Format: Use a clean, single-column resume format. Avoid graphics, text boxes, or tables which can scramble ATS parser outputs.
- Quantify Results: Instead of writing 'wrote code', write 'Developed a caching system that reduced server response times by 35%.'
Estimated compensation for this role type in India is ₹6,00,000 - ₹12,00,000 per annum (Mid level). The actual salary package offered depends on factors such as company size, work mode (remote or on-site), individual technical proficiency, and negotiations during final HR rounds.
Highly recommended certifications include: AWS Certified Solutions Architect, Microsoft Certified: Azure Fundamentals, Certified Kubernetes Administrator (CKA), Oracle Certified Professional Java SE, or tech-stack specific achievements (e.g. Meta Front-End Developer certification).
Frequently Asked Questions
Q: What is the interview process?
A: The hiring process consists of 3 interview rounds.
Q: Are referrals accepted?
A: Yes, referrals are highly appreciated.
Q: What benefits are offered?
A: Medical benefits, Provident Fund (PF), and performance-based bonuses.
Q: Which locations are available?
A: Positions are available in Raipur and Mangalore.
Q: Are AI-related positions focused on Generative AI?
A: Yes, candidates with GenAI, LLM, NLP, and Computer Vision experience are encouraged to apply.
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