Python Software Developer

Job Summary

Python Developer

Key Responsibilities

• Develop, maintain, and optimize backend services and applications using Python.
• Design and implement RESTful APIs and integrate third-party services.
• Build automation workflows using AI tools and frameworks.
• Work with Large Language Models (LLMs) to create intelligent features, automations, and enhancements.
• Collaborate with cross-functional teams including product, QA, and DevOps to deliver high-quality solutions.
• Write clean, efficient, and scalable code following best practices and coding standards.
• Troubleshoot, debug, and upgrade existing software systems.
• Participate in technical discussions, design reviews, and contribute to architectural decisions.
• Maintain documentation for code, workflows, and technical specifications.
• Stay updated with advancements in Python, AI/ML models, and automation technologies.

Required Skills & Qualifications

• Bachelors degree in Computer Science, Engineering, or related field.
• 56 years of professional experience in Python development.
• Strong expertise in frameworks such as

  Flask

  , or

  FastAPI

  .
• Solid understanding of

  RESTful API development

  , backend architecture, and database systems.
• Hands-on experience with databases such as

  MongoDB

  (preferred) and SQL/NoSQL systems.
• Familiarity with

  Elasticsearch

  for indexing and search functionalities (added advantage).
• Experience working with

  AI/ML tools

  , particularly with

  LLMs (OpenAI, etc.)

  .
• Practical experience in automation scripting and AI-based workflow automation.
• Proficient with version control tools (Git/GitHub/GitLab).
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.

Good to Have (Preferred Skills)

• Experience building AI-powered chatbots or automation systems.
• Working knowledge of

  MongoDB Aggregations

  ,

  Elasticsearch Query DSL

  , or search optimization.
• Experience with cloud services (AWS, Azure, GCP).
• Familiarity with containerization tools like Docker and CI/CD pipelines.
• Understanding of vector databases, embeddings, and model fine-tuning.
• Experience working in agile/scrum teams.