Python Backend Engineer: Knowledge Graphs & AI

ERNI; Bellprat; Hybrid; EUR 70,000 - 95,000; Full time

Benefits offered by this job

Certifications

Health insurance

Sick leave

Support services

Gym discounts

Flexible remuneration

Referral bonuses

Vacation days

Language courses

Job summary

ERNI is seeking a senior backend engineer to design, develop and maintain a Python-based MCP backend that links Enterprise Knowledge Graphs with AI agents and cloud data platforms. You will optimize SPARQL queries, scale APIs and extend semantic model compilation while ensuring security and reliability in a cloud-native setup.

You will work in a hybrid model with a team that values experience, mentoring, and technical excellence, contributing across international Agile/Scrum projects and growing

Qualifications

• 5+ years of professional software engineering experience in backend
• Strong hands-on experience with Python 3, FastAPI, Pydantic, REST APIs
• Practical experience with RDF and SPARQL and graph data modeling
• Experience with Docker/Podman, Kubernetes or OpenShift, CI/CD, Git and cloud-native environments
• Experience implementing API security, authentication and performance optimization (OAuth 2.0/OIDC, RBAC)
• Experience with Linux, Terraform and CI/CD tools such as Jenkins
• Fluent written and spoken English in international teams

Responsibilities

• Design, develop and maintain a Python-based MCP backend connecting Knowledge Graphs with AI agents and cloud data platforms
• Optimize SPARQL queries and API performance
• Extend semantic model compilation capabilities
• Ensure security, scalability, automated testing and operational reliability in cloud-native environments

Skills

5+ years experience

Python

FastAPI

Pydantic

REST APIs

RDF

SPARQL

Docker/Podman

Kubernetes/OpenShift

OAuth 2.0/OIDC

RBAC

Caching/Observability

Linux

Terraform

Jenkins

Git

English

Tools

Python 3

FastAPI

Pydantic

Docker/Podman

Kubernetes

OpenShift

Git

Terraform

Job description

ERNI is seeking a senior backend engineer to design, develop and maintain a Python-based MCP backend that links Enterprise Knowledge Graphs with AI agents and cloud data platforms. You will optimize SPARQL queries, scale APIs and extend semantic model compilation while ensuring security and reliability in a cloud-native setup.

You will work in a hybrid model with a team that values experience, mentoring, and technical excellence, contributing across international Agile/Scrum projects and growing