Sr. Python Developer

Job Category: Software Engineer
Job Type: Full Time
Job Location: Hyderabad
Company: Nuacem AI

About Nuacem AI
Nuacem AI is at the forefront of Conversational AI, building intelligent customer engagement platforms
using advanced NLP and proprietary Whitebox NLU technology. We power smart bots and AI-first
systems that operate seamlessly across voice, text, and video — for global enterprises.

Role Overview
We are seeking a skilled Sr. Python Developer to join our dynamic backend engineering team. You’ll be
responsible for building scalable, robust APIs, integrating with cloud systems, and optimizing
performance for AI-driven products.

Key Responsibilities

  • Develop, test, and maintain RESTful APIs using Flask, Fast API, or Django.
  • Collaborate with product and ML teams to integrate backend services with AI modules.
  • Design efficient and scalable architecture for microservices and backend systems.
  • Implement messaging systems using Kafka, RabbitMQ, or similar tools.
  • Optimize application performance using Redis, Memcached, and caching strategies.
  • Manage database schemas, queries, and performance for PostgreSQL or MariaDB.
  • Participate in code reviews, sprint planning, and Agile ceremonies.
  • Maintain code integrity and ensure high standards through CI/CD pipelines and Git workflows.

Required Skills & Qualifications

  • 3–5 years of hands-on experience in Python backend development.
  • Proficient in at least one Python web framework: Flask, Fast API, or Django.
  • Solid understanding of software architecture, OOP, and design patterns.
  • Experience with Kafka or RabbitMQ (or similar message brokers).
  • Proficiency in Redis, Memcached, or other caching mechanisms.
  • Strong experience with SQL databases such as PostgreSQL or MariaDB.
  • Familiarity with Git, CI/CD workflows, and Agile development.
  • Excellent problem-solving, debugging, and communication skills.

Bonus / Preferred Skills

  • Experience with containerization tools (Docker, Kubernetes).
  • Familiarity with cloud platforms like AWS, Azure, or GCP.
  • Exposure to working alongside AI/ML teams or in data-driven product environments.

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