Senior Full Stack Engineer (Immediate Joiner)

Job Description

EazyML, Recognized by Gartner, EazyML (www.EazyML.com) specializes in Responsible AI. Our solutions facilitate proactive compliance and sustainable automation and The company is associated with breakthrough startups like Amelia.ai. 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 ideal candidate will have hands-on expertise across modern front-end frameworks, backend APIs, cloud platforms, and AI-driven workflows, with a strong eye for UI/UX design and implementation. The person can work from home ( anywhere in INDIA, job location is in India ). Required Qualifications 4+ 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 .NET Core, FastAPI & Python. 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. Key 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. Preferred Qualifications 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.