Python Engineer (AI & Cloud)

About RoleWe are looking for a hands-on Python Engineer with strong experience in backend development, AI-driven systems, and cloud infrastructure. The ideal candidate should be comfortable working across Python services, AI/ML pipelines, and cloud-native environments, and capable of building production-grade, scalable systems.This role offers high ownership, exposure to real-world AI systems, and long-term growth, making it ideal for engineers who want to build meaningful products rather than just featuresKey ResponsibilitiesDesign, develop, and maintain scalable backend services using PythonBuild APIs and services using FastAPI, Flask, or DjangoEnsure performance, reliability, and scalability of backend systemsIntegrate AI/ML models into production systems (model inference, automation)Build and maintain AI pipelines for data processing and inferenceDeploy and manage applications on AWS, with exposure to GCP and AzureImplement CI/CD pipelines, containerization, and cloud deploymentsCollaborate with product, frontend, and AI teams on end-to-end deliveryOptimize cloud infrastructure for cost, performance, and reliabilityCollaborate with product, frontend, and AI teams on end-to-end deliveryFollow best practices for security, monitoring, and loggingRequired Qualifications2–4 years of professional experience in Python developmentStrong understanding of backend frameworks: FastAPI, Flask, DjangoHands-on experience integrating AI/ML systems into applicationsSolid experience with AWS (EC2, S3, Lambda, RDS, IAM)Exposure to Google Cloud Platform (GCP) and Microsoft AzureExperience with Docker and CI/CD workflowsUnderstanding of scalable system design principlesStrong problem-solving and debugging skillsAbility to work collaboratively in a product-driven environmentPerks and BenefitsWork in Nikhil Kamath funded startup₹3 – ₹4.6 LPA with ESOPs linked to performance and tenureOpportunity to build long-term wealth through ESOP participationWork on production-scale AI systems used in real-world applicationsHands-on experience with AWS, GCP, and Azure architecturesWork with a team that values clean engineering, experimentation, and executionExposure to modern backend frameworks, AI pipelines, and DevOps practicesHigh autonomy, fast decision-making, and real ownership of features and systems