Weekday - Full Stack Engineer
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Requirements
• Location: Remote (India) • JobType: full-time • ₹4,00,000 - ₹20,00,000 a year • This is a Full-Time Remote Position for a Full Stack Engineer. The Full Stack Engineer will be responsible for designing, developing, and maintaining both front-end and back-end features. The role involves collaborating with cross-functional teams to ensure seamless functionality, writing and testing efficient code, and contributing to the continuous improvement of the platform. Additionally, you will work to ensure scalability, performance, and a user-friendly experience across applications. • The person can work from home (anywhere in INDIA, job location is in India). • 3+ years of hands-on experience as a Full-Stack or Software Engineer. • Must have strong experience with Angular.js / React.js. • Backend development experience preferred with Python, FastAPI, and .NET Core. • Experience working on GenAI-powered solutions, including UI design and implementation. • Hands-on experience with GenAI development tools. • Proven experience deploying and working in AWS, GCP, and Azure cloud environments. • Comfortable working in a startup or fast-paced environment. • Strong ownership mindset and problem-solving skills. • Experience with modern UI/UX design principles and component-based architectures. • Familiarity with CI/CD pipelines and cloud-native services. • Prior experience working on AI/ML or LLM-based products. • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Responsibilities
• Design, develop, and maintain end-to-end GenAI-powered applications. Build responsive, user-friendly UIs using modern JavaScript frameworks. Develop scalable backend services and APIs using Python and FastAPI. Implement AI workflows and orchestration. Collaborate with product, design, and AI teams to translate requirements into high-quality solutions. Deploy, monitor, and optimize applications in cloud environments. Ensure performance, security, and scalability best practices are followed.
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