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Capgemini
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AI Engineer

AI Engineer

Capgemini

12 years

0 Lacs

bengaluru karnataka india

Posted:3 days ago| Platform:

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Skills Required

ai design stack model integration data collaborative vectorization retrieval engineering scalability python processing azure ml code architecture mentoring openai git communication collaboration agile node.js aws manufacturing support teamwork

Work Mode

On-site

Job Type

Full Time

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

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.

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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