1-Key Evaluation Areas :-
- Software Development Experience (7+ years)
- AI/ML/GenAI Experience (34+ years)
- Solid Python Programming
- FastAPI / REST API Development
- RAG Architecture (Hybrid, Agentic, Graph RAG, Multi-Hop, Hierarchical RAG)
- Chunking Strategies (Recursive, Semantic, Sliding Window, Document-Aware)
- Embedding Techniques & Vector Search Optimization
- Retrieval Strategies (Top-K, Hybrid Search, Re-ranking, Metadata Filtering)
- Vector Databases (FAISS, Pinecone, Azure AI Search, PgVector)
- Agentic AI Frameworks (LangGraph, CrewAI, AutoGen, etc.)
- Azure OpenAI & Cloud Architecture
- Enterprise AI Solution Design
- DevOps / MLOps Knowledge

Mandatory areas: Python, API Development, RAG Architecture, Chunking, Embeddings, Retrieval Strategies, Agentic AI, and Azure OpenAI should preferably be rated 3+ for further consideration

Area

1- Software Development

3- PythonL/GenAI

3-Python

4- API Development

5- RAG

8- Retrieval Strategiesess

7-Embedding Techniques

8-Retrieval Strategies

9- Vector Databases

14- Communication & Problem Solving

11-Azure OpenAI / Cloud

12-Enterprise AI Design

13-DevOps / MLOps

14-Communication & Problem Solving

📌 Artificial Intelligence Engineer (Bengaluru)
🏢 Tech Mahindra
📍 Bengaluru