Job Description

Senior - AI Engineer

Date:

26 Sept 2025

Location:

MITC, Kandivli, MITC, Kandivli, IN

Company:

Mahindra & Mahindra Ltd
About the Team:

Mahindra AI Division is the AI innovation arm within Mahindra Group. The division experiments with state-of-the-art AI technologies and is focused on developing and delivering cutting-edge AI products to the group. With the division's team-expansion plan, there is an excellent opportunity for your career growth in the team.

Responsibilities:

Design, develop, and maintain

backend services and APIs

to support AI/ML applications at scale. Productionize ML and deep learning models, ensuring efficiency, reliability, and low-latency inference. Build scalable

microservices and REST/gRPC APIs

for deploying AI solutions in enterprise environments. Optimize AI model serving using frameworks such as

TensorRT, ONNX Runtime, Triton Inference Server, or FastAPI

. Implement MLOps practices including model versioning, monitoring, and automated deployments. Collaborate with AI researchers, data scientists, and product managers to translate prototypes into production-ready systems. Ensure robustness, fault tolerance, and security in backend AI systems. Integrate AI services with enterprise data platforms, cloud systems, and third-party APIs. Contribute to architecture discussions, design reviews, and performance tuning. Mentor junior engineers and contribute to best practices in AI software engineering.

Educational & Experience requirements

Bachelor's degree with at least 7 years of experience or Master's with at least 4 years of experience in Computer Science, Software Engineering, Data Science, or related fields. Preferred to have degree from a Tier-1/2 institute (IIT/IISc/NITs if studied in India) or a globally top-ranked university (as per QS).

Technical Requirements

Strong proficiency in

Python

and backend frameworks (FastAPI). Expertise in Prompt engineering and working with various LLMs

.

Experience in

productionizing AI/ML models

with efficient inference pipelines. Hands-on experience with

model deployment frameworks

(Triton, TensorRT, TorchServe, ONNX Runtime). Knowledge of

cloud platforms

(Azure, GCP) and container technologies (

Docker

). Strong experience with

microservices architecture, CI/CD pipelines, and monitoring tools

(Prometheus, Grafana). Familiarity with

databases

(SQL/NoSQL) and scalable data storage solutions. Exposure to

LLMs, SLMs, and GenAI model integration

into backend systems is a strong plus. Understanding of security, authentication, and performance optimization in large-scale systems. Experience with version control (Git) and Agile development practices.

Behavioral Requirements

Excellent problem-solving skills and attention to detail. Strong written and verbal communication skills in English. Ability to work collaboratively in cross-functional teams. Passion for building reliable backend systems that bring AI models into real-world impact.

Job Segment:

Software Engineer, Engineer, Engineering