AI Engineer
Capgemini
AI Engineer
Job Description
AI Engineer
📋 Job Overview
Capgemini is seeking an AI Engineer with 9-12 years of experience in Bangalore to build intelligent, GPT-powered applications and systems. The role focuses on designing and implementing AI-driven solutions, from model integration and data processing to user-facing features. The ideal candidate is passionate about AI, experienced with modern tools, and excels in collaborative, fast-paced environments.
📍 Location: Bangalore
💼 Experience Level: Experienced Professionals
🏢 Business Unit: Engineering and RandD Services
🎯 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
- Shares expertise and provides guidance and support to others
- Interprets clients needs
✅ Required Qualifications
- 9-12 years of experience
- 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
- Develops competency in own area of expertise
- Completes own role independently or with minimum supervision
- Identifies problems and generates solutions in straightforward situations
- Contributes in teamwork and interacts with customers
⭐ 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
🛠️ Required Skills
- Python
- AI/ML development
- GPT APIs
- OpenAI
- Azure OpenAI
- Prompt engineering
- AI search
- Document vectorisation
- RESTful APIs
- Asynchronous workflows
- Data pipelines
- Microsoft Azure
- Git
- CI/CD workflows
- Problem-solving
- Communication
- Collaboration
Locations
- Bangalore, India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- AI/ML developmentintermediate
- GPT APIsintermediate
- OpenAIintermediate
- Azure OpenAIintermediate
- Prompt engineeringintermediate
- AI searchintermediate
- Document vectorisationintermediate
- RESTful APIsintermediate
- Asynchronous workflowsintermediate
- Data pipelinesintermediate
- Microsoft Azureintermediate
- Gitintermediate
- CI/CD workflowsintermediate
- Problem-solvingintermediate
- Communicationintermediate
- Collaborationintermediate
Required Qualifications
- 9-12 years of experience (experience)
- Strong proficiency in Python with experience in AI/ML development (experience)
- Familiarity with GPT APIs (e.g., OpenAI, Azure OpenAI) and prompt engineering (experience)
- Experience integrating AI search and document vectorisation techniques (experience)
- Solid understanding of RESTful APIs, asynchronous workflows, and data pipelines (experience)
- Hands-on experience with Microsoft Azure, especially in deploying AI services (experience)
- Proficiency with Git basics and modern CI/CD workflows (experience)
- Strong problem-solving skills and attention to detail (experience)
- Excellent communication and collaboration abilities (experience)
- Develops competency in own area of expertise (experience)
- Completes own role independently or with minimum supervision (experience)
- Identifies problems and generates solutions in straightforward situations (experience)
- Contributes in teamwork and interacts with customers (experience)
Preferred Qualifications
- Experience working on AI/ML products or in data-driven environments (experience)
- Familiarity with SAFe or other agile methodologies (experience)
- Exposure to backend technologies (e.g., Node.js, Express) or cloud platforms like AWS, Vercel (experience)
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
- Shares expertise and provides guidance and support to others
- Interprets clients needs
Tags & Categories
AI Engineer
Capgemini
AI Engineer
Job Description
AI Engineer
📋 Job Overview
Capgemini is seeking an AI Engineer with 9-12 years of experience in Bangalore to build intelligent, GPT-powered applications and systems. The role focuses on designing and implementing AI-driven solutions, from model integration and data processing to user-facing features. The ideal candidate is passionate about AI, experienced with modern tools, and excels in collaborative, fast-paced environments.
📍 Location: Bangalore
💼 Experience Level: Experienced Professionals
🏢 Business Unit: Engineering and RandD Services
🎯 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
- Shares expertise and provides guidance and support to others
- Interprets clients needs
✅ Required Qualifications
- 9-12 years of experience
- 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
- Develops competency in own area of expertise
- Completes own role independently or with minimum supervision
- Identifies problems and generates solutions in straightforward situations
- Contributes in teamwork and interacts with customers
⭐ 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
🛠️ Required Skills
- Python
- AI/ML development
- GPT APIs
- OpenAI
- Azure OpenAI
- Prompt engineering
- AI search
- Document vectorisation
- RESTful APIs
- Asynchronous workflows
- Data pipelines
- Microsoft Azure
- Git
- CI/CD workflows
- Problem-solving
- Communication
- Collaboration
Locations
- Bangalore, India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- AI/ML developmentintermediate
- GPT APIsintermediate
- OpenAIintermediate
- Azure OpenAIintermediate
- Prompt engineeringintermediate
- AI searchintermediate
- Document vectorisationintermediate
- RESTful APIsintermediate
- Asynchronous workflowsintermediate
- Data pipelinesintermediate
- Microsoft Azureintermediate
- Gitintermediate
- CI/CD workflowsintermediate
- Problem-solvingintermediate
- Communicationintermediate
- Collaborationintermediate
Required Qualifications
- 9-12 years of experience (experience)
- Strong proficiency in Python with experience in AI/ML development (experience)
- Familiarity with GPT APIs (e.g., OpenAI, Azure OpenAI) and prompt engineering (experience)
- Experience integrating AI search and document vectorisation techniques (experience)
- Solid understanding of RESTful APIs, asynchronous workflows, and data pipelines (experience)
- Hands-on experience with Microsoft Azure, especially in deploying AI services (experience)
- Proficiency with Git basics and modern CI/CD workflows (experience)
- Strong problem-solving skills and attention to detail (experience)
- Excellent communication and collaboration abilities (experience)
- Develops competency in own area of expertise (experience)
- Completes own role independently or with minimum supervision (experience)
- Identifies problems and generates solutions in straightforward situations (experience)
- Contributes in teamwork and interacts with customers (experience)
Preferred Qualifications
- Experience working on AI/ML products or in data-driven environments (experience)
- Familiarity with SAFe or other agile methodologies (experience)
- Exposure to backend technologies (e.g., Node.js, Express) or cloud platforms like AWS, Vercel (experience)
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
- Shares expertise and provides guidance and support to others
- Interprets clients needs
Tags & Categories