Python Backend Engineer

Company Description Quantanite is a business process outsourcing BPO and customer experience CX solutions company that helps fast-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 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 with AI team to deploy lightweight inference pipelines using PyTorch TensorFlow or ONNX Participate in training data pipeline design and minor model fine-tuning as needed for business logic Contribute to the testing logging and monitoring of AI agent behavior in production environments Qualifications 3 years of experience in Python backend development with strong experience in FastAPI or equivalent frameworks Solid understanding of RESTful API design asynchronous programming and web application architecture Proficiency in working with relational databases e g PostgreSQL MS SQL Server and Azure cloud services Experience with ETL workflows job scheduling and data pipeline orchestration Airflow Prefect etc Exposure to machine learning libraries e g Scikit-learn Transformers OpenAI APIs is a plus Familiarity with containerization Docker CI CD practices and performance tuning A mindset of code quality scalability documentation and collaboration Additional Information Benefits At Quantanite we ask a lot of our associates which is why we give so much in return In addition to your compensation our perks include Dress Wear anything you like to the office We want you to feel as comfortable as when working from home Employee Engagement Experience our family community and embrace our culture where we bring people together to laugh and celebrate our achievements Professional development We love giving back and ensure you have opportunities to grow with us and even travel on occasion Events Regular team and organisation-wide get-togethers and events Value orientation Everything we do at Quantanite is informed by our Purpose and Values We Build Better Together Future development At Quantanite you ll have a personal development plan to help you improve in the areas you re looking to develop over the coming years Your manager will dedicate time and resources to supporting you in getting you to the next level You ll also have the opportunity to progress internally As a fast-growing organization our teams are growing and you ll have the chance to take on more responsibility over time So if you re looking for a career full of purpose and potential we d love to hear from you