Description

Must-Have Skills:
✔ Strong Python-based Data Science background
✔ Hands-on experience with AI/ML and LLM-enabled solutions
✔ Deep expertise in Retrieval-Augmented Generation (RAG) architectures
✔ Experience designing and implementing Agentic AI workflows
✔ Ability to validate and post-process highly reliable structured outputs from LLMs
✔ Strong understanding of AI/ML/LLM libraries and frameworks used in enterprise projects
✔ Experience optimizing AI/ML system performance and scalability
✔ Architect-level expertise collaborating with engineering and solution design teams
🔹 Candidate Must Be Able To Clearly Explain:
• Which AI/ML and LLM libraries/tools were used in projects
• Why specific frameworks and technologies were selected
• How those technologies were implemented within enterprise environments
• Deep technical architecture, scalability, and implementation details
🔹 Interview Focus Areas:
✅ RAG Architecture & Implementation
✅ LLM Solution Design
✅ Agentic AI Concepts
✅ Python Data Science Ecosystem
✅ AI/ML Libraries & Frameworks
✅ Structured Output Validation & Post-Processing
✅ System Optimization & Scalability

Key Skills

Education

Bachelor's degree