AI Engineer
at Capgemini
Posted 5 days ago
No clicks
- Compensation
- Not specified
- City
- Bengaluru
- Country
- India
Currency: Not specified
We are seeking an AI Engineer to design and implement GPT-powered AI applications and systems across the stack, from model integration and data processing to user-facing features. The role involves building AI-driven solutions, integrating AI capabilities into web and backend systems via APIs and custom workflows, and implementing document vectorization and AI search pipelines for intelligent retrieval. The candidate will collaborate with product, engineering, and data science teams to define and deliver AI features, and optimize models for performance, scalability, and reliability, with deployment on Microsoft Azure. A strong background in Python and AI/ML, plus hands-on experience with AI tools and platforms, is required in a fast-paced environment.
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
AI Engineer
at Capgemini
AI Engineer
at Capgemini
Posted 5 days ago
No clicks
- Compensation
- Not specified
- City
- Bengaluru
- Country
- India
Currency: Not specified
We are seeking an AI Engineer to design and implement GPT-powered AI applications and systems across the stack, from model integration and data processing to user-facing features. The role involves building AI-driven solutions, integrating AI capabilities into web and backend systems via APIs and custom workflows, and implementing document vectorization and AI search pipelines for intelligent retrieval. The candidate will collaborate with product, engineering, and data science teams to define and deliver AI features, and optimize models for performance, scalability, and reliability, with deployment on Microsoft Azure. A strong background in Python and AI/ML, plus hands-on experience with AI tools and platforms, is required in a fast-paced environment.
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
