Geomotiv

Python Engineer for AI cultural intelligence platform

In short

This senior backend role builds and evolves a Django/Python-based AI Cultural Intelligence Platform serving Gaming, Tech, and E-Commerce brands. The work centers on GraphRAG pipelines with OpenAI and Neo4j, SSP/DSP reporting and activation integrations (Pubmatic, Index Exchange, Equativ, Knorex), and Celery-based background job orchestration on AWS. It demands 4+ years of product-focused Python/Django experience, deep LLM and GraphRAG knowledge, and comfort working in a distributed remote team.

About the Project
The project is an AI-powered Cultural Intelligence Platform that combines cultural insight, media activation, and resonance measurement to support inclusive marketing performance. It serves brands in Gaming, Tech, and E-Commerce, using proprietary AI and custom DSP technologies to help marketers turn cultural trends into measurable impact.
Responsibilities
•Build, maintain, and evolve the core backend architecture, APIs, and business logic using Python and Django
•Develop AI-driven features, focusing on GraphRAG pipelines using OpenAI, Neo4j, QuantDB, LangIndex, and MCP
•Lead integrations with third-party SSP/DSP platforms, focusing on reporting and activation APIs for Pubmatic, Index Exchange, Equativ, and Knorex
•Architect and manage background jobs using Celery for scoring algorithms, CSV processing, and automated report generation
•Deploy, integrate, and scale services in AWS, including S3 and other native services
•Contribute to technical decisions, including the roadmap for migrating from the current Django monolith to newer frameworks as the platform scales
Requirements
•4+ years of hands-on experience in product-focused backend development using Python
•Strong knowledge of Django 4.2 and Django REST Framework
•Experience working with LLMs, specifically OpenAI, and deep practical knowledge of GraphRAG architectures
•Hands-on experience with Neo4j and familiarity with QuantDB, LangIndex, and MCP
•Experience deploying and managing applications in AWS
•Proficiency with PostgreSQL, Celery, Redis, Docker, and Gunicorn
•Strong understanding of API design, asynchronous processing, and background job orchestration
•Strong debugging, problem-solving, critical thinking, and communication skills
•Ability to work within a distributed team
•Bachelor's or Master's degree in Computer Science or a related field, or equivalent work experience
•English proficiency at B1+/B2 level
Nice to Have
•Understanding of the programmatic ecosystem, media buying chains, and SSP/DSP roles
•Experience integrating reporting or activation APIs for Pubmatic, Index Exchange, Equativ, or Knorex
•Basic familiarity with Django Templates and vanilla JavaScript for full-stack tasks
Conditions
•No overtime or weekend work, unless production is seriously broken

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