Backend Engineer – AI, RAG & Cloud Microservices

Jobs for Humanity; United States; Remote; USD 110,000 - 160,000; Full time

Job summary

Jobs for Humanity is seeking an experienced backend engineer to design, build, and optimize services using Python frameworks like Django or FastAPI. You will work with PostgreSQL/MySQL, implement microservices with Docker and Kubernetes, and manage background tasks with Redis, Celery, and RabbitMQ.

AI features using OpenAI API, Hugging Face, and LangChain are part of the role. You will collaborate on RAG-enabled solutions and vector databases (pgvector, Qdrant), and deploy in AWS, GCP, or Azure.

Qualifications

• 3+ years of backend development experience with Python and frameworks (Django/FastAPI).
• Strong PostgreSQL/MySQL database design and query optimization.
• Solid understanding of microservices, Docker/Kubernetes, and CI/CD pipelines.
• Experience with Redis, Celery, and RabbitMQ for background processing.
• AI integration experience with OpenAI API, Hugging Face, LangChain.
• Hands-on with RAG (Retrieval-Augmented Generation).
• Familiarity with vector databases (pgvector, Qdrant).
• Experience with cloud environments (AWS, GCP, or Azure).

Skills

Python

Django

FastAPI

Microservices

CI/CD

OpenAI API

LangChain

Hugging Face

RAG

AWS

GCP

Azure

PostgreSQL

MySQL

Docker

Kubernetes

Redis

Celery

RabbitMQ

pgvector

Qdrant

OpenAI API

Tools

Docker

Kubernetes

Redis

Celery

RabbitMQ

pgvector

Qdrant

AWS

GCP

Azure

PostgreSQL

MySQL

Python

Django

FastAPI

Job description

Jobs for Humanity is seeking an experienced backend engineer to design, build, and optimize services using Python frameworks like Django or FastAPI. You will work with PostgreSQL/MySQL, implement microservices with Docker and Kubernetes, and manage background tasks with Redis, Celery, and RabbitMQ.

AI features using OpenAI API, Hugging Face, and LangChain are part of the role. You will collaborate on RAG-enabled solutions and vector databases (pgvector, Qdrant), and deploy in AWS, GCP, or Azure.