Artificial Intelligence Engineer

Capgemini

9 - 14 years

17 - 25 Lacs

bengaluru

Posted:2 hours ago| Platform:

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Skills Required

artificial intelligence python microsoft azure safe aws

Work Mode

Hybrid

Job Type

Full Time

Job Description

Job Description:

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 stackfrom 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.
Understanding of model fine-tuning, evaluation metrics, and deployment strategies.

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