Quantanite is a business process outsourcing (BPO) and customer experience (CX) solutions company that helps rapid-growing companies and leading global brands to transform and grow. We do this through a collaborative and consultative approach, rethinking business processes and ensuring our clients employ the optimal mix of automation and human intelligence. We’re an ambitious team of professionals spread across four continents and looking to disrupt our industry by delivering seamless customer experiences for our clients, backed up with exceptional results. We have big dreams and are constantly looking for new colleagues to join us who share our values, passion, and appreciation for diversity
Job Description
We are looking for a Python Backend Engineer with exposure to AI engineering to join our team in building a scalable, cognitive data platform. This platform will crawl and process unstructured data sources, enabling intelligent data extraction and analysis. The ideal candidate will have deep expertise in backend development using FastAPI, RESTful APIs, SQL,
and Azure data technologies, with a secondary focus on integrating AI/ML capabilities into the product.
Core Responsibilities
- Design and develop high-performance backend services using Python (FastAPI).
- Develop RESTful APIs to support data ingestion, transformation, and AI-based feature access.
- Work closely with DevOps and data engineering teams to integrate backend services with Azure data pipelines and databases.
- Manage database schemas, write complex SQL queries, and support ETL processes using Python-based tools.
- Build secure, scalable, and production-ready services following best practices in logging, authentication, and observability.
- Implement background tasks and async event-driven workflows for data crawling and processing.
AI Engineering Contributions :
- Support integration of AI models (NLP, summarization, information retrieval) within backend APIs.
- Collaborate