Full Stack AI Engineer
Raipur & MangaloreFull timeAI/ML2-5 yearsOnsite
Magure is a product-focused technology company building its own in-house platforms and intelligent solutions, not client-only implementations. Our work is centered around creating scalable, AI-enabled products that solve real business problems and are used in production environments.
We are seeking a highly skilled Full Stack AI Engineer to join our growing engineering team. In this role, you will play a critical part in building, scaling, and evolving modern product-grade web applications with embedded AI capabilities.
You will work closely with cross-functional teams including product, AI, and business stakeholders to design and implement innovative solutions aligned with long-term product vision and organizational goals. This opportunity is ideal for someone who values strong engineering fundamentals, enjoys end-to-end ownership, and is excited about working with modern web technologies combined with AI/ML-driven systems.
Roles & Responsibilities
Full-stack development
- Lead the design, development, testing, and deployment of full-stack applications using the MERN stack (MongoDB, Express.js, React, Node.js).
- Write clean, maintainable, and efficient code following established coding standards and best practices.
- Take ownership of features from concept to production.
Technical leadership
- Mentor and guide junior developers, fostering a collaborative and learning-driven environment.
- Participate in and drive technical discussions, design reviews, and code reviews to maintain high engineering standards.
- Promote best practices in code quality, performance, and security.
Application architecture & system design
- Collaborate with cross-functional teams to design scalable, secure, and efficient application architectures.
- Make strategic technical decisions to support long-term scalability, model performance, and system reliability.
- Design and integrate AI/ML-powered features such as LLM workflows, embeddings, semantic search, recommendation systems, or intelligent automation into production applications.
- Work with Azure-based AI and cloud services to deploy, orchestrate, monitor, and optimize AI-enabled solutions.
Database management & optimization
- Design and manage MongoDB schemas to support application requirements.
- Write complex queries and optimize database performance.
- Monitor, troubleshoot, and resolve database-related issues to ensure efficient data handling.
Frontend development
- Build responsive, intuitive, and user-friendly interfaces using React.
- Implement frontend best practices for performance optimization and cross-device compatibility.
- Collaborate with design and product teams to deliver smooth user experiences.
API development & integration
- Develop, document, and maintain RESTful APIs for smooth communication between frontend, backend, and AI-enabled systems.
- Integrate third-party services, external APIs, and AI model endpoints to extend application functionality.
- Build and maintain backend workflows for model inference, prompt orchestration, vector search, and intelligent data pipelines.
Problem solving & debugging
- Diagnose and resolve technical issues across new and existing applications.
- Apply debugging, profiling, and performance-tuning techniques to improve system efficiency.
Continuous improvement & learning
- Stay updated with industry trends, MERN stack advancements, and emerging technologies, including AI-driven solutions.
- Participate in internal knowledge-sharing sessions and contribute to a culture of continuous improvement and innovation.
Qualifications Required
- Bachelor's or master's degree in computer science.
- 2-5 years of hands-on experience in full-stack development using MERN Stack.
- Strong proficiency in MongoDB, Express.js, React, and Node.js, with the ability to build end-to-end production applications.
- Solid understanding of frontend and backend architecture, RESTful API design, and how AI/ML components are integrated into application workflows.
- Experience with responsive design, frontend optimization, and React best practices.
- Strong knowledge of MongoDB database management and query optimization.
- Strong understanding and hands-on experience with AI/ML technologies and models, including model integration, prompt engineering, inference workflows, evaluation, and deployment within production applications.
- Exposure to LLMs, embeddings, vector databases, AI APIs, or ML inference pipelines, and understanding of model limitations, observability, and performance considerations.
- Excellent problem-solving, analytical, and debugging skills.
- Strong communication and collaboration abilities.
Good to Have
- Experience with Git, version control workflows, and CI/CD pipelines.
- Exposure to cloud platforms, especially Microsoft Azure.
- Familiarity with AI-enabled services, vector databases, model deployment platforms, or intelligent application features.
Why Join Magure?
- Opportunity to work on innovative, real-world products using the latest MERN stack technologies.
- Exposure to AI-powered platforms and cloud-native systems.
- Collaborative work environment with clear paths for career growth and leadership.
- Competitive compensation and benefits.
- Chance to make a meaningful impact in a fast-growing software company.
Apply for Full Stack AI Engineer
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