Senior AI Data Science Engineer

A Day in the Life

The Artificial Intelligence and Data Science function develops enterprise software solutions that leverage artificial intelligence, large language models (LLMs), machine learning, and modern software engineering practices to solve complex business challenges. The team partners with product, engineering, and business stakeholders to design, develop, deploy, and support scalable AI-enabled applications, workflow automation solutions, and cloud-integrated platforms that drive operational efficiency and business value.

Role Overview

This position is based in Hyderabad, India (Hyderabad / Secunderabad) with a Flex work arrangement. No travel is required.

As a Senior AI Data Science Engineer, you will design, build, and maintain enterprise-grade AI applications that combine full stack engineering, prompt engineering, workflow automation, cloud integration, and large language model technologies. The role requires hands-on expertise in AI application development, scalable software architecture, modern web technologies, and collaboration across cross-functional teams to deliver secure, high-quality business solutions.

Primary Responsibilities

• Design, develop, and maintain full stack applications using Vue.js, TypeScript, JavaScript, Python, Flask, REST APIs, and modern user interface frameworks.
• Develop and deploy AI-enabled applications utilizing large language models (LLMs), prompt engineering techniques, machine learning models, and intelligent automation capabilities.
• Build enterprise business applications with workflow automation, role-based access controls, secure authentication, and database integrations.
• Design and implement prompt engineering strategies to improve performance, accuracy, and usability of AI-driven application features.
• Integrate applications with cloud platforms, third-party services, AI technologies, and enterprise systems.
• Develop and support solutions using PostgreSQL and other relational or non-relational database technologies.
• Participate in Agile software development activities including planning, technical design, code reviews, testing, continuous integration, deployment, and production support.
• Collaborate with product, engineering, and business stakeholders to translate requirements into scalable technical solutions and drive successful delivery.