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Studymitr
Aditi Shinde
Posted by Aditi Shinde

Jaipur · 2 - 4 years · ₹3L - ₹4.6L / yr · Profitable · Posted 19 Jan 2026

Artificial Intelligence (AI)
skill iconMachine Learning (ML)
AWS Lambda
skill iconPython
RESTful APIs
+3 more

About Role

We 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 features


Key Responsibilities

  • Design, develop, and maintain scalable backend services using Python
  • Build APIs and services using FastAPI, Flask, or Django
  • Ensure performance, reliability, and scalability of backend systems
  • Integrate AI/ML models into production systems (model inference, automation)
  • Build and maintain AI pipelines for data processing and inference
  • Deploy and manage applications on AWS, with exposure to GCP and Azure
  • Implement CI/CD pipelines, containerization, and cloud deployments
  • Collaborate with product, frontend, and AI teams on end-to-end delivery
  • Optimize cloud infrastructure for cost, performance, and reliability
  • Collaborate with product, frontend, and AI teams on end-to-end delivery
  • Follow best practices for security, monitoring, and logging


Required Qualifications

  • 2–4 years of professional experience in Python development
  • Strong understanding of backend frameworks: FastAPI, Flask, Django
  • Hands-on experience integrating AI/ML systems into applications
  • Solid experience with AWS (EC2, S3, Lambda, RDS, IAM)
  • Exposure to Google Cloud Platform (GCP) and Microsoft Azure
  • Experience with Docker and CI/CD workflows
  • Understanding of scalable system design principles
  • Strong problem-solving and debugging skills
  • Ability to work collaboratively in a product-driven environment


Perks and Benefits

  • Work in Nikhil Kamath funded startup
  • ₹3 – ₹4.6 LPA with ESOPs linked to performance and tenure
  • Opportunity to build long-term wealth through ESOP participation
  • Work on production-scale AI systems used in real-world applications
  • Hands-on experience with AWS, GCP, and Azure architectures
  • Work with a team that values clean engineering, experimentation, and execution
  • Exposure to modern backend frameworks, AI pipelines, and DevOps practices
  • High autonomy, fast decision-making, and real ownership of features and systems



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