Senior Backend Engineer – Python

16 hours ago

Ernakulam, India JK Lucent Full time

Senior Backend Engineer – Python (AI-Powered Systems)

Location:
Infopark Koratty, Chalakkudy, Kerala

Employment Type:
Full-Time, Onsite

Experience: 5+ Years

About the Role

We are looking for a
Senior Backend Engineer – Python
who has a solid foundation in backend architecture, real-time systems, and Python development. You will be leading the backend development of AI-powered applications, particularly chatbots and voice bots. This role involves hands-on system design, team mentoring, and building robust, secure, scalable services.

Responsibilities

  • Architect and implement scalable Python-based backend services, particularly for AI-driven applications (e.g., chatbots, voice bots).
  • Design modular and maintainable codebases, including setting up repository structures and database schema design.
  • Lead and mentor developers through all phases of development—from concept to deployment.
  • Develop APIs using FastAPI, with robust validation using Pydantic and asynchronous capabilities.
  • Implement ORM and migrations using SQLAlchemy and Alembic.
  • Integrate task queues using Celery and background processing effectively.
  • Build and optimize database systems, including MySQL, PostgreSQL, and related tools.
  • Integrate LLMs (e.g., OpenAI, HuggingFace Transformers) into backend systems to support conversational AI capabilities.
  • Use AI/NLP libraries such as NLTK, scikit-learn, or equivalents in production-level applications.
  • Implement containerization using Docker and maintain version control with Git.
  • Contribute to and maintain CI/CD pipelines for smooth and reliable deployments.
  • Conduct code reviews to ensure high-quality, maintainable, and well-documented code.

Requirements

  • 5–6 years of experience in Python backend development, preferably in AI product environments.
  • Proven experience in designing backend architectures from scratch for real-time or intelligent systems.
  • Strong knowledge of:
  • FastAPI, Pydantic, SQLAlchemy, Alembic
  • Celery, Purest, LLM-specific libraries (e.g., OpenAI SDK, HuggingFace)
  • AI/ML-related Python libraries: NLTK, scikit-learn
  • Experience with PostgreSQL, MySQL, and database design best practices.
  • Familiarity with containerization using Docker and basic knowledge of CI/CD tools and Git workflows.
  • Experience deploying and integrating LLM-powered applications, including chatbots or voice bots, into production.
  • Strong understanding of software engineering best practices, with experience conducting code reviews and mentoring team members.

Preferred

  • Experience in multi-tenant or multi-service application design.
  • Exposure to cloud platforms like AWS, Azure, or GCP.

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