Job Description

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!