Job Description

Job description:

Job Title:

Backend Developer (

Node.js + Python )

Experience:

4 to 6 Years

Employment Type:

Full-Time

Work Mode:

[On-site]

About the Role:

We're looking for a highly motivated

Backend Developer

with strong hands-on experience in

Node.js, Python

and a working knowledge of

AI/ML technologies

. You'll be part of a cross-functional team building scalable backend services that power intelligent, data-driven applications.

Key Responsibilities:

Develop and maintain backend services using

Node.js

(Express/Nest.js) and

Python

(FastAPI/Django) Build and optimize APIs (REST & GraphQL) for web and mobile products. Collaborate with AI/ML teams to integrate models into backend workflows. Work with data scientists to deploy models and manage inference pipelines. Design backend systems to support

AI features

such as recommendation engines, NLP, chatbots, or computer vision modules. Write clean, maintainable, and testable code with proper documentation. Ensure the performance, security, and scalability of applications. Manage deployments using

Docker

,

CI/CD

, and cloud infrastructure (AWS/GCP/Azure). Monitor and troubleshoot production issues proactively.

Required Skills and Qualifications:

4 to 6 years of backend development experience in

Node.js

and

Python.

Strong knowledge of databases -

PostgreSQL

,

MongoDB

,

Redis

. Solid understanding of

API design

,

microservices

, and system architecture. Experience with

AI/ML integrations

- using or deploying models built with libraries like

TensorFlow

,

PyTorch

,

scikit-learn

, or

OpenAI APIs

. Experience with

cloud services

for model hosting and serving (e.g., AWS ec2, AWS Lambda, SageMaker, GCP Vertex AI). Experience with

containerization (Docker)

and version control (Git). Exposure to

WebSockets

,

real-time communication

, and

message queues

(Kafka, RabbitMQ). Working knowledge of

JWT

,

OAuth2

, and API security best practices.

Nice to Have:

Hands-on with

LangChain

,

LLM APIs

, or

vector databases

like Pinecone or Weaviate. Familiarity with

prompt engineering

or

LLM fine-tuning

. Exposure to

serverless

architecture or

event-driven systems

.
Job Types: Full-time, Permanent

Benefits:

Paid sick time Paid time off
Location Type:

In-person
Schedule:

Monday to Friday
Work Location: In person

Job Types: Full-time, Permanent

Pay: ₹215,051.09 - ₹1,022,268.49 per year

Benefits:

Paid sick time Paid time off
Work Location: In person

Speak with the employer

+91 7880122103