Capgemini

AI Engineer

Posted On

Dec. 9, 2025

Location

Bangalore, Karnataka

Experience Level

Experienced Professionals

Job Type

Permanent

Apply By

Feb. 25, 2026

Job Description

AI Engineer

Location: Bangalore
Experience: 9–12 Years
Employment Type: Full-time

About the Role

We are seeking a versatile and innovative AI Engineer to design and implement intelligent, GPT-powered applications and systems. This role involves building AI-driven solutions across the stack—from model integration and data processing to user-facing features. The ideal candidate is passionate about artificial intelligence, has hands-on experience with modern AI tools and platforms, and thrives in a collaborative, fast-paced environment.

Key Responsibilities

Design, develop, and deploy AI-powered applications using GPT models and other LLMs.
Integrate AI capabilities into web and backend systems using APIs and custom workflows.
Implement document vectorization and AI search pipelines for intelligent retrieval and automation.
Collaborate with product, engineering, and data science teams to define and deliver AI features.
Optimize models and applications for performance, scalability, and reliability.
Develop and maintain Python-based scripts and services for data processing and model interaction.
Work with cloud platforms (especially Microsoft Azure) to deploy and manage AI services.
Stay current with advancements in AI/ML, LLMs, and emerging technologies.
Participate in code reviews, architecture discussions, and mentoring activities.

Skills and Qualifications

Strong proficiency in Python, with experience in AI/ML development.
Familiarity with GPT APIs (OpenAI, Azure OpenAI) and prompt engineering.
Experience integrating AI search and document vectorization techniques.
Solid understanding of RESTful APIs, asynchronous workflows, and data pipelines.
Hands-on experience with Microsoft Azure, especially for deploying AI services.
Proficiency with Git and modern CI/CD workflows.
Strong problem-solving skills, attention to detail, and ability to work in fast-paced environments.
Excellent communication and collaboration abilities.

Preferred Qualifications

Experience working on AI/ML products or in data-driven environments.
Familiarity with SAFe or other agile methodologies.
Exposure to backend technologies (Node.js, Express) or cloud platforms like AWS, Vercel.

Job Description - Grade Specific

Focus on Digital Continuity and Manufacturing. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.

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Job Description

Job Description

About the Role

Key Responsibilities

Skills and Qualifications

Preferred Qualifications

Job Description - Grade Specific

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