AI Engineer

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.