Generative AI Engineer

Andor Tech; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Andor Tech in Bengaluru seeks a Sr AI Engineer with 7+ years of experience to design, develop, and deploy enterprise-grade conversational AI solutions, including scalable chatbots and Copilot integrations for complex workflows.

You will work on Retrieval Augmented Generation (RAG) based knowledge systems, implement prompts, test rigorously, and collaborate with cross-functional teams to deliver reliable, production-ready AI capabilities for enterprise use.

Qualifications

• 7+ years of experience in AI engineering or related field.
• Hands-on experience with prompt engineering and chatbot fundamentals.
• Experience API integration and workflow automation.
• Familiarity with Retrieval Augmented Generation (RAG) concepts.
• Experience with testing frameworks and QA practices.
• Proficiency with platforms like Microsoft Foundry and Databricks.

Responsibilities

• Design and implement AI-powered chatbots and Copilot solutions for enterprise use cases.
• Develop conversational flows using Copilot Studio or similar platforms.
• Apply prompt engineering techniques to optimize chatbot performance and accuracy.
• Integrate chatbots with APIs, enterprise systems, and workflow automation tools.
• Implement knowledge management solutions using RAG-based approaches.
• Collaborate with cross-functional teams to align solutions with business needs.
• Conduct testing, validation, and quality assurance to ensure reliability and usability.
• Continuously improve chatbots using feedback, analytics, and performance insights.

Skills

Prompt engineering

Chatbot fundamentals

API integration

RAG basics

Testing frameworks

Pro-code platforms

Copilot platforms

Tools

Microsoft Foundry

Databricks

Job description

We are seeking an experienced Sr AI Engineer (7+ years) to design, develop, and deploy enterprise-grade conversational AI solutions. This role focuses on building scalable chatbot and Copilot applications, integrating with enterprise systems, and leveraging Retrieval Augmented Generation (RAG) techniques for high-quality knowledge-driven interactions.

About the Role

The ideal candidate brings deep technical expertise, strong solution design capabilities, and experience delivering AI solutions in complex enterprise environments.

Responsibilities

• Design and implement AI-powered chatbots and Copilot solutions for enterprise use cases
• Develop conversational flows using Copilot Studio or similar platforms
• Apply prompt engineering techniques to optimize chatbot performance and accuracy
• Integrate chatbots with APIs, enterprise systems, and workflow automation tools
• Implement knowledge management solutions using RAG-based approaches
• Collaborate with cross-functional teams to align solutions with business needs
• Conduct testing, validation, and quality assurance to ensure reliability and usability
• Continuously improve chatbots using feedback, analytics, and performance insights

Must-Have Skills & Experience

• Strong understanding of:
• Prompt engineering and chatbot fundamentals
• Hands-on experience with:
• API integration and workflow orchestration
• Retrieval Augmented Generation (RAG) basics
• Testing frameworks and quality assurance practices
• Technical expertise in:
• Pro-code platforms such as Microsoft Foundry and/or Databricks

Preferred Skills

• Experience with:
• Microsoft 365 Copilot and agent extensibility
• Programming knowledge in:
• Understanding of:
• Security and Responsible AI practices
• Advanced RAG architectures and DevOps integration