Petals Enlightenment Institutes Ltd.

Job Title: Full Stack Software Developer (Python / AI-ML / FastAPI + React) Experience: 4+ Years Location: Onsite Employment Type: Full-time Company: Petals Enlightenment Institute Limited Industry: SaaS / AI / Product Development / EdTech About the Role We are building a greenfield SaaS platform powered by advanced AI and Machine Learning , designed to deliver intelligent, personalized, and scalable user experiences. We’re looking for a Full Stack Software Developer who not only excels in backend and frontend engineering but also has a solid understanding of AI/ML development and integration aligned with product needs. You will play a key role in designing, developing, and deploying end-to-end features — from data processing and ML logic to frontend visualization — all hosted-on Linux-based cloud infrastructure . Key Responsibilities Architect, develop, and maintain scalable backend APIs using Python (FastAPI) . Design rich, high-performance, and user-friendly web applications using React.js and modern UI frameworks (e.g., Material UI, Tailwind). Build, train, and deploy AI/ML models as per product requirements, ensuring high accuracy and performance in production. Collaborate with data scientists to integrate ML algorithms seamlessly into the core product features. Deploy and manage the entire application stack on Linux-based servers . Configure and maintain Nginx, Gunicorn, and Uvicorn for backend deployments. Implement CI/CD pipelines using Docker , Git , and automation tools (GitHub Actions, GitLab CI, Jenkins). Ensure system scalability, data security, and reliability across environments. Participate in technical architecture discussions, sprint planning, and code reviews. Required Skills and Experience 4+ years of professional experience as a Full Stack Developer . Strong expertise in Python with hands-on experience in FastAPI . Proficiency in React.js , including Hooks, Redux/Context API, and component optimization. Demonstrated experience in building and deploying AI/ML models — from data preprocessing to inference APIs. Strong grasp of ML frameworks such as TensorFlow, PyTorch, or Scikit-learn . Experience deploying applications on Linux-based servers using Nginx , Gunicorn , and Docker . Working knowledge of SQL and NoSQL databases (MySQL, sPostgreSQL, MongoDB, Redis). Understanding of security best practices , authentication (OAuth2/JWT) , and API versioning . Excellent problem-solving, debugging, and optimization skills. Good to Have Experience in MLOps pipelines or automated model lifecycle management . Knowledge of microservices , event-driven systems , and GraphQL . Experience developing multi-tenant SaaS architectures . Exposure to DevOps workflows and Linux shell scripting. Job Type: Full-time Pay: ₹50,000.00 - ₹60,000.00 per month Benefits: Paid sick time Work Location: In person