
Innovative AI-Powered Software Developer
1 day ago
Job Title: Senior Backend Engineer - Python
About the Role:
We are seeking a highly skilled Senior Backend Engineer to lead our team in developing innovative AI-powered applications. The ideal candidate will have a solid foundation in backend architecture, real-time systems, and Python development.
Key Responsibilities:
- Design and implement scalable Python-based backend services for AI-driven applications.
- 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 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.
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 into production.
- Strong understanding of software engineering best practices with experience conducting code reviews and mentoring team members.
Preferred Qualifications:
- Experience in multi-tenant or multi-service application design.
- Exposure to cloud platforms like AWS, Azure, or GCP.
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