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 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.

Preferred 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.
Job Types: Full-time, Permanent

Pay: ?600,000.00 - ?700,000.00 per year

Benefits:

Health insurance Provident Fund
Application Question(s):

What is your notice period? What is your current ctc? What is your expected ctc? How many years of experience you have in AI engineering?
Work Location: In person

Speak with the employer

+91 9930709352