Full Stack Developer

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