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AI Engineer

Job Description

Job Description:

Job title: AI Engineer

Location: Bangalore

Experience: 9-12 years

We are seeking a versatile and innovative AI Engineer to join our team in building intelligent, GPT-powered applications and systems. This role involves designing and implementing 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 vectorisation and AI search pipelines for intelligent retrieval and automation.
Collaborate with cross-functional teams (product, engineering, data science) 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 (e.g., OpenAI, Azure OpenAI) and prompt engineering.
Experience integrating AI search and document vectorisation techniques.
Solid understanding of RESTful APIs, asynchronous workflows, and data pipelines.
Hands-on experience with Microsoft Azure, especially in deploying AI services.
Proficiency with Git basics and modern CI/CD workflows.
Strong problem-solving skills and attention to detail.
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 (e.g., 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.
Ref. code:  347381
Posted on:  9 Dec 2025
Experience Level:  Experienced Professionals
Contract Type:  Permanent
Location: 

Bangalore, IN

Brand:  Capgemini Engineering
Professional Community:  Products & Systems Engineering

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