Key Responsibilities

Design, develop, and deploy Generative AI applications using up-to-date LLMs.

Build and optimize Retrieval-Augmented Generation (RAG) pipelines.

Develop AI-powered applications using Python and LLM frameworks such as LangChain or LangGraph.

Integrate OpenAI, Azure OpenAI, Anthropic Claude, or Google Gemini APIs into enterprise applications.

Develop REST APIs using FastAPI or similar Python frameworks.

Work with vector databases to enable semantic search and knowledge retrieval.

Write clean, maintainable, and scalable code following software engineering best practices.

Collaborate with Product Managers, Data Engineers, and Software Developers to deliver AI solutions.

Troubleshoot, optimize, and enhance the performance of AI applications.

Preferred Tech Stack

Python

Generative AI

Large Language Models (LLMs)

Prompt Engineering

RAG

LangChain or LangGraph

OpenAI / Azure OpenAI

Claude or Gemini APIs

FastAPI

Pinecone / ChromaDB / FAISS / Weaviate

Git

Docker

Azure or AWS

📌 Generative Ai Engineer Toronto
🏢 Spait Infotech
📍 Toronto