AI Product Engineer

Location: Chennai, India

Role Overview

We are seeking an innovative and results driven AI Product Engineer to drive our strategic shift toward a Service-as-Software model. This role is central to transforming our proprietary service methodologies into automated, scalable, and client-facing software applications.

You will be responsible for the end-to-end development of AI-powered services, leveraging the Google AI ecosystem, specifically Vertex AI for deployment and MLOps, and state-of-the-art models such as Gemini to create reliable, high-impact solutions for our clients.

Key Responsibilities

1. AI Service Development & Delivery

· Service-as-Software Ownership: Design, build, and deploy client-facing, scalable services that automate core business offerings, integrating Generative AI using the Gemini API and Vertex AI

· Logic Translation: Work with subject matter experts to translate complex service workflows and proprietary knowledge into robust, repeatable, and scalable software architectures

· Solution Architecture: Determine the optimal structure for AI services, focusing on patterns like Retrieval-Augmented Generation (RAG), vector databases (Vertex AI Vector Search), and advanced prompt engineering.

· Full-Stack Development: Write clean, production-grade code in Python and relevant back-end services necessary to power the client application and service APIs.

2. MLOps, Customization, & Optimization

· Production Readiness: Utilize Vertex AI MLOps services (Pipelines, Model Registry, Endpoints) to build and maintain automated CI/CD and deployment workflows, ensuring high availability and reliability.

· Model Customization: Apply customization techniques, including prompt engineering and Retrieval-Augmented Generation (RAG), to align Gemini and other LLMs with our proprietary domain knowledge

Required Qualifications

· Bachelor’s degree in computer science, Engineering, or a related technical field

· 5+ years of total experience in software development, with at least 2+ years focused on building and deploying AI/ML applications in a production cloud environment.

· Expertise in Python and strong proficiency with modern software development principles

· Experience with front-end technologies (e.g., React, Vue, Angular) for building complete service user interfaces

· Demonstrable experience working with Google Cloud Platform (GCP) and core AI/ML services, including deep familiarity with Vertex AI.

· Hands-on experience with Gemini, LLMs, and Generative AI development (prompt engineering, RAG frameworks, or agent construction).

Why Join Us?

· Career Growth: Opportunities for professional development, certifications, and leadership roles.

· Innovative Environment: Be part of a dynamic team that thrives on solving security challenges.

· Work-Life Balance: Flexible work arrangements and a supportive team culture.

Are you ready to lead the charge in cybersecurity and make a difference? Apply today and join a team committed to securing the digital world!