Senior Python AI Developer - GenAI, RAG & API Expert

Ethereum Technologies

Wilmington (DE)

On-site

USD 120,000 - 180,000

Full time

20 hours ago
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Job summary

Ethereum Technologies is seeking a seasoned Python AI Developer to design and build AI-driven applications, data pipelines, and microservices. You will implement RAG techniques and orchestrate AI agents with LangChain, LangGraph, or CrewAI, and integrate LLMs with vector stores and external REST APIs.

The role requires deep Python expertise, experience with GenAI/NLP, and familiarity with FastAPI/Flask/Django, plus MLOps, Git, and Docker for production deployments on cloud platforms.

Qualifications

  • 7+ years of total software experience with Python.
  • Hands-on experience with GenAI, NLP, prompt engineering, and vector stores.
  • Knowledge of web frameworks such as FastAPI, Flask, or Django.
  • Familiarity with MLOps practices, Git version control, and containerization.

Responsibilities

  • Design and build AI-driven applications, data pipelines, and microservices using Python.
  • Implement Retrieval-Augmented Generation (RAG) and orchestrate AI agents using tools like LangChain, LangGraph, or CrewAI.
  • Integrate Large Language Models (LLMs) with enterprise vector databases and external REST APIs.
  • Optimize backend performance and deploy production-ready code via Docker and cloud platforms (AWS, Azure, GCP).

Skills

Python
GenAI
NLP
Prompt engineering
Vector stores
Backend APIs

Tools

LangChain
LangGraph
CrewAI
FastAPI
Flask
Django
Docker
AWS
Azure
GCP
Git
REST APIs

Job description

Ethereum Technologies is seeking a seasoned Python AI Developer to design and build AI-driven applications, data pipelines, and microservices. You will implement RAG techniques and orchestrate AI agents with LangChain, LangGraph, or CrewAI, and integrate LLMs with vector stores and external REST APIs.

The role requires deep Python expertise, experience with GenAI/NLP, and familiarity with FastAPI/Flask/Django, plus MLOps, Git, and Docker for production deployments on cloud platforms.

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