Python Developer with GenAI Expertise

About ERGO Technologies and Services India

ET&S India, a part of ERGO Technology & Services Management, is the latest addition as an IT outsourcing provider for ERGO Group Worldwide. Supported by ERGO Group, an 18 billion Euro organization operating in over 25 countries, ET&S India aims to offer technology services to the ERGO group. In the near future, ET&S India will drive ERGO's digital ambitions and establish offshore development centres in various cities across the country. ET&S India will also focus on developing expertise and offering career opportunities in a wide range of technologies within the insurance sector.

Key Accountabilities & Responsibilities:

About the Role

Python Developer

Key Responsibilities

• Develop, test, and maintain

  Python-based applications

  , integrating with Java components when required.
• Design and implement

  AI/GenAI solutions

  leveraging OpenAI APIs or other LLM frameworks (Anthropic, Gemini etc.).
• Deploy and manage applications in

  Microsoft Azure

  environments (App Services, Azure Functions, Azure AI, etc.).
• Collaborate with cross-functional teams to gather requirements, architect solutions, and ensure high-quality deliverables.
  
• Optimize performance, scalability, and security of applications.
  
• Stay up to date with emerging AI/ML technologies and contribute innovative ideas to the team.

Required Skills & Qualifications

• Strong proficiency in Python

  with experience in frameworks such as Flask, FastAPI, or Django.

• Basic working knowledge of Java

  (ability to understand, debug, and modify Java code).
• Experience with

  Generative AI tools and frameworks

  (e.g., OpenAI GPT models, LangChain, Hugging Face).
• Familiarity with

  Microsoft Azure cloud services

  (Azure AI, Azure Functions, App Services, Key Vault, etc.).
• Solid understanding of REST APIs, JSON, and integration between systems.
  
• Strong problem-solving skills, analytical thinking, and the ability to work independently as well as in a team.
  

Preferred Qualifications

• Experience deploying

  AI/ML solutions

  in production environments.
• Familiarity with

  Azure DevOps

  , CI/CD pipelines, and containerization (Docker/Kubernetes).
• Exposure to

  other programming languages

  (JavaScript, C#, etc.) is a plus.
• Prior work in AI-driven products or SaaS environments.

Previous Experience & Qualifications

• A degree in Computer Science or equivalent or a related discipline; or equivalent work experience