Python Developer
2 weeks ago
About the Role
We are looking for a highly skilled
Python Developer
with 2–3 years of experience to support our AI Engineering team in building and deploying production-ready AI solutions. The role requires strong expertise in
backend frameworks, microservices, and database management
, along with exposure to
frontend integration
. The ideal candidate will have hands-on experience in
pipelines, orchestration, system-level optimization, and third-party integrations
.
Key Responsibilities
- Collaborate with AI Engineers for
local and cloud-based deployment
of AI models. - Build and maintain
scalable AI Application
using Python frameworks (
FastAPI, Flask, Django
). - Manage
databases (SQL & NoSQL)
for high-performance data processing. - Implement
multi-threading, multiprocessing, and Celery-based task management
. - Containerize applications with
Docker
and manage deployments in
Ubuntu/Linux environments
. - Integrate with
third-party tools
such as
Google Calendar, Microsoft Calendar, and task management systems
. - Enable
real-time voice, text, and video streaming
through tools like
LiveKit, Twilio
, and
WebSockets
. - Support
frontend integration
for complete end-to-end AI solutions. - Ensure deployments are
production-ready
with CI/CD, logging, monitoring, and testing.
Required Skills & Qualifications
- 2–3 years of professional experience as a
Python Developer
. - Strong proficiency in
Python frameworks
: FastAPI, Flask, Django. - Hands-on experience with
Docker
for containerization and deployment. - Proficiency in
task queues
and
asynchronous job handling
using
Celery
. - Solid understanding of
multi-threading
and
multi-processing
concepts. - Experience with
databases
(PostgreSQL, MySQL, MongoDB, etc.). - Knowledge of
Ubuntu/Linux commands
and system-level scripting. - Strong grasp of
microservices architecture
and REST APIs. - Experience with
real-time communication tools
: WebSockets, LiveKit, Twilio. - Ability to integrate with
third-party APIs
(Google Calendar, Microsoft Calendar, To-Do list tools). - Familiarity with
cloud platforms
(AWS, Azure, GCP) for scalable deployments.
Apply
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