Senior AI Engineer (AI Backend Developer)

Position : Senior AI Engineer (AI Backend Developer) |

Bangalore, Chennai , Hyderabad

Experience : 8+ Years

Type :

Long-term | Full-time

Location :

Bangalore, Chennai and Hyderabad office (hybrid 1 / week)

Budget :

Up to ₹2 Lakh per Month (MAX)

Role Overview

We are looking for a

Senior AI Engineer

with strong

backend development

experience to build and deploy

AI-driven solutions

using

Python ,

TypeScript , and

modern AI / ML frameworks .

The ideal candidate will have hands-on expertise in

Azure AI / ML ,

microservices , and

LLM integrations

(ChatGPT, Llama), with a passion for scalable and reliable system design.

Key Responsibilities

Architect and develop

AI / ML-based backend applications

using

Python ,

TypeScript , and

ChatGPT / Llama APIs .

Deploy and manage

AI models

on

Azure Cloud

for high performance and scalability.

Integrate AI modules with

REST APIs

and

microservices architecture .

Implement

CI / CD

pipelines and participate in

MLOps automation .

Collaborate with data and DevOps teams for end-to-end AI delivery.

Optimize models for

latency ,

accuracy , and

resource efficiency .

Ensure

security, testing, and best coding practices

across deployments.

Required Skills & Qualifications

Bachelor’s or Master’s in

Computer Science ,

AI ,

Machine Learning , or related field.

8+ years

of software development experience, with

3+ years in AI / ML-focused roles .

Strong proficiency in

Python

and

TypeScript

(Java or C++ is a plus).

Experience with

AI / ML frameworks

TensorFlow ,

PyTorch , or

Scikit-learn .

Proven expertise with

Azure AI / ML

(AWS or GCP exposure is a plus).

Strong grasp of

algorithms ,

data structures , and

software design patterns .

Hands-on with

REST APIs ,

microservices ,

Docker , and

Kubernetes .

Familiarity with

data pipelines ,

SQL / NoSQL databases , and

ETL workflows .

Experience with

CI / CD tools

(Jenkins, GitHub Actions) and

Git version control .

Excellent analytical and communication skills, with a collaborative mindset.

Tech Stack

Azure (mandatory), AWS (preferred), Python, TypeScript, TensorFlow, PyTorch, ChatGPT APIs, Llama, Jenkins, GitHub Actions, Docker, Kubernetes, JIRA, Confluence.

Compensation

Budget :

Up to ₹2 Lakh per Month (Based on skills and experience)

Engagement :

Long-term project with extension based on performance