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Urgent! Full Stack Engineer Job Opening In India, India – Now Hiring Weekday AI

Full Stack Engineer



Job description

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.

Requirements

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.


Required Skill Profession

Computer Occupations



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    Unlock Your Full Stack Potential: Insight & Career Growth Guide


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