Python AI Developer

Ethereum Technologies; New York (NY); On-site; USD 83,000 - 113,000; Full time

Job summary

Ethereum Technologies is seeking a Python AI Developer in New York City to build scalable AI-powered enterprise applications using Python and modern AI frameworks. The role covers integration of Generative AI, LLMs, and MLOps practices, with deployment on cloud platforms.

You will work with LangChain and related tooling, implement Prompt Engineering and RAG-based approaches, and build robust APIs and microservices using FastAPI and Flask.

Qualifications

• US work authorization options include US citizen, Green Card, H-1B, OPT-EAD, CPT, and other types.

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 ML 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.

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.