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Full Stack Engineer at Weekday AI. This role is for one of the Weekday's clients. Salary range: Rs 2000000 - Rs 4000000 (ie INR 20-40 LPA). Min Experience: 8 years. JobType: full-time. We are looking for a highly experienced . Full Stack Engineer. to join our team and lead the development of scalable, innovative, and intelligent applications. The ideal candidate will bring strong expertise in . C#, .NET, Python, AWS. , and advanced experience in . AI/ML and Generative AI. technologies. With 8–13 years of proven experience, you will play a critical role in designing, developing, and deploying full stack solutions that power next-generation products, while collaborating with cross-functional teams across engineering, data science, and cloud infrastructure.. This is a senior engineering role where you will be expected to leverage your technical expertise, problem-solving skills, and leadership abilities to deliver high-performance, secure, and future-ready applications.. Key Responsibilities. . . Full Stack Development. : Design, develop, and maintain robust applications using . C#, .NET. , and . Python. , ensuring seamless integration between front-end and back-end systems. . . . Cloud Deployment & Architecture. : Architect and deploy scalable, secure, and resilient solutions on . AWS. , leveraging services such as Lambda, EC2, S3, RDS, and API Gateway. . . . AI/ML & GenAI Integration. : Collaborate with data scientists to build, integrate, and optimize . machine learning models. and . Generative AI solutions. within enterprise-grade applications. . . . System Design & Architecture. : Participate in high-level system architecture decisions, ensuring efficient design patterns, scalability, and best practices in microservices and API-driven architecture. . . . Performance Optimization. : Continuously monitor, test, and optimize application performance to deliver a seamless user experience. . . . Security & Compliance. : Implement security best practices, ensuring compliance with data protection regulations and secure coding standards. . . . Cross-Functional Collaboration. : Work closely with product managers, data engineers, and UI/UX teams to translate business needs into technical solutions. . . . Mentorship & Leadership. : Provide technical guidance and mentorship to junior engineers, fostering a culture of continuous learning and innovation. . . . Research & Innovation. : Stay updated on the latest trends in . AI/ML, Generative AI, and cloud-native architectures. , and drive innovation by proposing new tools, frameworks, and approaches. . . Key Skills & Qualifications. . . Education. : Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. . . . Experience. : 8–13 years of full stack engineering experience with proven delivery of enterprise-grade applications. . . . Technical Expertise. : . . . Strong hands-on experience with . C# and .NET framework. for back-end development. . . Proficiency in . Python. for data processing, machine learning model integration, and AI applications. . . Solid knowledge of . AWS cloud services. and best practices in cloud deployment. . . Proven experience with . AI/ML. frameworks (TensorFlow, PyTorch, Scikit-learn) and . Generative AI models. (LLMs, diffusion models, NLP-based applications). . . Strong understanding of . REST APIs, microservices, and event-driven architecture. . . . Familiarity with front-end frameworks (React.js, Angular, or Vue.js) is an added advantage. . . . . . . Soft Skills. : Excellent problem-solving ability, communication skills, and the ability to thrive in a fast-paced, collaborative environment. . . . Leadership. : Ability to mentor teams, influence architectural decisions, and lead technical initiatives.. . Company Location: India.