Python & Generative AI Engineer

Python & Generative AI Engineer

Python Development:

Good hands-on experience in Python, OOP concepts, data structures, exception handling, debugging, and writing reusable code.

API Development:

Experience developing and consuming

REST APIs using

FastAPI, Flask, or similar Python frameworks

.

Generative AI:

Basic hands-on experience with

LLMs, Prompt Engineering, embeddings, tokens, context management, and integrating LLM APIs

.

RAG:

Understanding or implementation experience with

Retrieval-Augmented Generation (RAG)

, including document chunking, embeddings, vector search, and retrieving relevant context.

GenAI Frameworks:

Exposure to at least one framework such as

LangChain, LangGraph, LlamaIndex, Semantic Kernel, or equivalent

.

AI Agents:

Basic understanding of

Agentic AI, tool/function calling, AI agents, and MCP is preferred.

Database:

Working knowledge of

SQL and basic experience handling structured/unstructured data using Python.

Proprietary Applications:

Ability to understand and enhance existing/proprietary Python and GenAI applications

, integrate internal APIs, and work securely with confidential enterprise data.

Development Tools:

Basic experience with

Git, unit testing, Linux, Docker, and any one cloud platform such as Azure, AWS, or GCP

.

Experience Expectation:

junior engineer with experience in Python/software development with practical exposure to at least one

GenAI/LLM, RAG, AI assistant, chatbot, or AI-agent project/POC

.