Company: QADPosition: Senior Full Stack Software Engineer

Experience: 5-8 Years (Recommended)Job Type: Full-Time

Job Overview

QAD is seeking an experienced Senior Full Stack Software Engineer to help build and enhance its enterprise SaaS platform for manufacturing and supply chain management.

The ideal candidate will have strong expertise in full-stack development, enterprise application architecture, and hands-on experience with Agentic AI and Generative AI. The candidate should be capable of independently leading technical solutions, developing scalable applications, resolving complex engineering challenges, and mentoring team members.

Key Responsibilities

- Design, develop, and maintain scalable enterprise-grade SaaS applications.
- Lead end-to-end full-stack development across frontend and backend technologies.
- Design and implement RESTful APIs, microservices, and distributed application architectures.
- Develop and integrate Agentic AI and Generative AI-based solutions into enterprise applications.
- Optimize application performance, scalability, security, and reliability.
- Design and manage SQL/NoSQL databases, data models, and efficient queries.
- Identify and resolve complex technical issues across the application stack.
- Drive engineering best practices, code reviews, and quality standards.
- Collaborate with cross-functional teams to deliver high-quality software solutions.
- Mentor junior and mid-level engineers and provide technical guidance.

Required Skills & Experience




- Strong experience building and operating enterprise-scale web applications and SaaS products.
- Advanced knowledge of Data Structures, Algorithms, Time & Space Complexity, and Object-Oriented Programming (OOP).
- Strong full-stack development experience with HTML, CSS, JavaScript, and backend technologies such as Java, Node.js, or Python.
- Strong understanding of RESTful APIs, Microservices, distributed systems, and cloud-native architecture.
- Hands-on experience with SQL and/or NoSQL databases, data modeling, and performance optimization.
- Experience with Git and modern software development practices.
- Mandatory: Hands-on experience working with Agentic AI and Generative AI.
- Ability to independently lead technical solutions and troubleshoot complex engineering challenges.
- Proven experience mentoring engineers and providing technical leadership.

Key Competencies
- Strong problem-solving and analytical skills.
- Technical ownership and decision-making.
- Ability to work independently in a fast-paced environment.
- Strong communication and collaboration skills.
- Focus on code quality, scalability, and engineering excellence.

Candidate Profile Looking for a senior-level engineer who combines robust full-stack engineering capabilities with practical Agentic AI / Generative AI implementation experience and can contribute to the design and evolution of enterprise SaaS platforms.

Pay: ₹884,000.00 - ₹2,650,000.00 per year

Work Location: In person

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