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
Note - Immediate Joiner preferred
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.