AI Developer

Must-Have

1. Generative AI / LLMs

2. Python Programming

3. Prompt Engineering

4. RAG Architecture

5. AI/ML Concepts

6. REST APIs

7. SQL

8. Cloud Platforms (AWS/Azure)

9. Git, CI/CD

10. Automation Tools (Ansible preferred)

Good-to-Have

1. Excellent communication and collaboration skills
2. A strong team player comfortable in a cross-cultural and diverse operating environment
3. Result oriented and ability to deliver under tight timelines

Roles & Responsibilities:

• Design, develop, and deploy Generative AI solutions using enterprise AI platforms.
• Build GenAI-powered applications leveraging Large Language Models (LLMs).
• Develop AI-based automation solutions using Python.
• Implement Retrieval-Augmented Generation (RAG), prompt engineering, summarization, and intent classification techniques.
• Integrate AI solutions with enterprise applications, ITSM tools, and business data sources.
• Develop APIs and backend services to support AI workflows.
• Deploy and manage AI solutions through CI/CD pipelines and Infrastructure as Code.
• Ensure compliance with security, governance, and data privacy standards.
• Collaborate with customers to identify AI use cases and drive implementation from concept to production.