Senior Backend Engineer – Python (AI-Powered Systems)

Senior Backend Engineer – Python (AI-Powered Systems) 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: o FastAPI, Pydantic, SQLAlchemy, Alembic o Celery, Purest, LLM-specific libraries (e.g., OpenAI SDK, HuggingFace) o 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.

                                    If this opportunity aligns with your career goals, kindly share your updated resume with us at careers@jklucent.com.au