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Opening for Python + Gen AI Developer

Opening for Python + Gen AI Developer

LTIMindtreeBengaluru, Karnataka, India
13 hours ago
Job description

Skill : Python Developer with Cloud (AWS / Azure / GCP) Experience

Experience : 3- 6 Years

Work Location : Mumbai / Pune / Chennai / Hyderabad / Bangalore / Kolkata / Delhi / Noida / Coimbatore

Job Description : Role Overview

We're seeking a Python developer with cloud platform experience who can grow into our GenAI initiatives. This role offers the opportunity to work on traditional backend services while transitioning into cutting-edge AI applications with comprehensive training and mentorship.

Core Responsibilities

  • Develop and maintain backend services using Python frameworks (FastAPI, Flask, etc.)
  • Build and integrate RESTful APIs with cloud-native architectures
  • Implement CI / CD pipelines and containerized deployments
  • Transition to : Design LLM-powered applications, RAG pipelines, and Agentic AI systems

Must-Have Skills (Mandatory)

  • Python Fundamentals : 2+ years experience with OOP, data structures, and clean code practices
  • Web Frameworks : Proficiency in at least one - FastAPI, Flask, or Django
  • Cloud Platform : Hands-on experience with AWS, Azure, or GCP (compute, storage, databases)
  • Database Management : RDBMS, PostgreSQL, MySQL, or cloud-native databases
  • Version Control : Git workflows and collaborative development
  • API Development : RESTful services and third-party integrations
  • Testing : Unit testing with pytest / unittest
  • Problem-solving mindset and ability to learn quickly
  • Good to Have Skills

  • Data Engineering : ETL pipelines, data processing frameworks (Pandas, NumPy)
  • Containerization : Docker, Kubernetes
  • DevOps : CI / CD tools, infrastructure as code
  • Basic ML / AI : Exposure to TensorFlow, PyTorch, scikit-learn
  • Message Queues : Redis, RabbitMQ, or cloud messaging services
  • Monitoring : Application observability and logging frameworks
  • GenAI Frameworks / Concepts : Knowledge on Langchain, Langgraph, CrewAI, AutoGen etc., RAG, Observability platforms
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