Generative AI Python Engineer: API & MLOps in NYC

Quantum Technologies. LLC; New York (NY); On-site; USD 81,000 - 115,000; Part time

Job summary

Quantum Technologies LLC in New York City is seeking a Python AI Developer to build scalable AI-powered enterprise applications. You will integrate Generative AI/LLM solutions, implement Prompt Engineering and RAG-based apps, and work with LangChain, LangGraph, LlamaIndex, and OpenAI/Azure OpenAI models.

The role involves ML with Scikit-learn, PyTorch, TensorFlow, backend services with FastAPI/Flask, vector databases like Pinecone/ChromaDB/FAISS, REST APIs, Docker, and Kubernetes, with

Responsibilities

• Develop scalable AI-powered enterprise applications using Python.
• Build and integrate Generative AI and LLM-based solutions.
• Implement Prompt Engineering and RAG-based applications.
• Work with LangChain, LangGraph, and LlamaIndex frameworks.
• Integrate OpenAI and Azure OpenAI models into business applications.
• Develop Machine Learning solutions using Scikit-learn, PyTorch, and TensorFlow.
• Build backend services and APIs using FastAPI and Flask.
• Work with vector databases such as Pinecone, ChromaDB, and FAISS.
• Develop REST APIs and microservices for AI application integration.
• Deploy and manage AI solutions on Azure or AWS.
• Explore AI Agents and Agentic AI frameworks.
• Support MLOps, Docker, and Kubernetes-based deployments.

Skills

Python

AI

Generative AI

LangChain

LangGraph

LlamaIndex

OpenAI

Azure OpenAI

Scikit-learn

PyTorch

TensorFlow

FastAPI

Flask

Docker

Kubernetes

REST APIs

Tools

Pinecone

ChromaDB

FAISS

OpenAI API

Azure OpenAI

Job description

Quantum Technologies LLC in New York City is seeking a Python AI Developer to build scalable AI-powered enterprise applications. You will integrate Generative AI/LLM solutions, implement Prompt Engineering and RAG-based apps, and work with LangChain, LangGraph, LlamaIndex, and OpenAI/Azure OpenAI models.

The role involves ML with Scikit-learn, PyTorch, TensorFlow, backend services with FastAPI/Flask, vector databases like Pinecone/ChromaDB/FAISS, REST APIs, Docker, and Kubernetes, with