Python AI Developer

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

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: Python AI Developer
Location: New York City,NY
Duration: 9 Months + Extension
Bill Rate: $71/hour
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Job Description

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.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.