Python Backend & AI Engineer

About the job

Job Description: Python Backend & AI Engineer (3–4 Years Experience) Location: Bangalore Department: Engineering / AI Job Type: Full-Time Reporting To: Engineering Lead / AI Lead Role Overview We are looking for a strong Python Backend & AI Engineer with 3–4 years of experience in building scalable backend systems and implementing AI/ML components. The ideal candidate should have expert-level Python skills (FastAPI / Django), experience building REST APIs, SQL knowledge, authentication mechanisms, and familiarity with AI/ML workflows using Pandas, NumPy, and cloud platforms (AWS/GCP). Key Responsibilities · Design, build, and maintain scalable REST APIs using FastAPI and Django. · Develop secure authentication & authorization (OAuth2 / JWT / Session-based). · Work with SQL databases (PostgreSQL / MySQL) and write optimized queries. · Build modular backend architectures with clean and maintainable code. · Implement CI/CD, unit testing, and API documentation (Swagger / OpenAPI). · Integrate external APIs, microservices, and internal data services. · Deploy and manage applications on AWS or GCP (Lambda, EC2, Cloud Run, API Gateway, etc.). · Work with Docker-based deployments and containerization. · Use Pandas, NumPy, and Python scientific stack for data preprocessing. · Build simple ML pipelines and integrate AI models into backend services. · Work with REST-based AI model inference (OpenAI, Hugging Face, custom models). · Implement basic RAG or LLM integration (nice to have). · Optimize API performance, manage data flows, and build automation scripts. Required Skills · Strong Python development experience (3–4 years). · FastAPI and Django (must-have). · SQL (PostgreSQL / MySQL) and database schema design. · API authentication (JWT, OAuth2). · Experience with AWS / GCP cloud services. · Docker, Git, CI/CD pipelines. · Pandas, NumPy (must-have). · Experience with Python ML ecosystem. · Ability to integrate AI APIs or internal models. Preferred Qualifications · Experience with Redis, Celery, async programming. · Familiarity with Hugging Face / OpenAI APIs. · Exposure to data engineering / ETL pipelines. · Knowledge of RAG, vector DBs, or LLM workflows (optional). What You Will Gain · Work on both scalable backend systems and AI-driven applications. · Cloud-native deployment experience (AWS/GCP). · Fast-paced environment with strong learning opportunities. · Opportunity to build end-to-end production systems.

Requirements

• Python
• FastAPI
• Django
• SQL
• AWS
• GCP
• Pandas
• NumPy

Preferred Technologies

• Python
• FastAPI
• Django
• SQL
• AWS
• GCP
• Pandas
• NumPy