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