Python Developer

Overview

Key Responsibilities:

• Design, develop, and maintain scalable backend services for GenAI applications
• Collaborate with UI developers, ML engineers, and product teams to deliver end-to-end GenAI solutions
• Write modular, testable, and efficient code aligned with Python best practices
• Build RESTful/GraphQL APIs to expose ML/GenAI services to front-end and external systems
• Engineer ETL pipelines and preprocessing workflows for structured/unstructured data
• Optimize applications for performance, security, and scalability in production environments
• Debug and resolve backend issues across development, staging, and production systems
• Implement unit tests, integration tests, and CI/CD pipelines for reliable deployments
• Stay updated with Python ecosystem advancements and GenAI integration practices
  
  

Required Skills and Qualifications:

• Strong proficiency in Python (3.x) with frameworks like FastAPI, Flask, or Django
• Good understanding of object-oriented programming and design patterns
• Experience designing secure RESTful APIs with authentication/authorization
• Knowledge of SQL/NoSQL/vector databases (PostgreSQL, MongoDB, Pinecone, Milvus, etc.)
• Familiarity with asynchronous programming, event-driven systems, and microservices
• Experience with Git, CI/CD workflows, and containerization (Docker)
• Bonus: Familiarity with GenAI libraries and frameworks (LangChain, LlamaIndex, Hugging Face) and cloud deployments (AWS, Azure, GCP)
  
  

Focus on Digital Continuity and Manufacturing. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.