AI / ML Engineer (Full Stack, Platform & Infrastructure)

SPACE N PLACE is an international AI startup in the PropTech sector. We create two interconnected systems: an AI platform for real estate analysis and a smart property search engine that matches listings to user life scenarios and analyzes them before clicks. Our goal is to transform the chaotic listing market into a structured, analyzable system and help people make informed decisions.

- Develop and maintain the AI/ML part of the product (LLM, RAG, Computer Vision) - Design and implement data pipelines and data ingestion - Work with vector databases and semantic search - Integrate and orchestrate various AI models (LLM, CV, multimodal) - Deploy and maintain models on servers - Optimize costs for model operations and computational infrastructure - Design and build computing clusters for load scaling - Develop backend infrastructure (FastAPI, async, high-load scenarios) - Optimize performance and latency of AI pipelines - Work with queues, caching, and real-time data processing - Support and develop existing architecture (Docker, API, services) - Participate in system design at the platform level, not just individual tasks

- Practical experience with AI/ML systems in production - Experience building RAG, LLM integrations, or data pipelines - Strong backend skills in Python (FastAPI, async) - Understanding of high-load system architecture - Experience with vector databases or semantic search - Experience deploying and maintaining models on servers - Ability to optimize latency, cost of AI services, and computations - Understanding of how to build and scale computing clusters under load - Independence and systematic thinking

- Remote work - Part-time / project format - Hourly pay (discussed individually) - Tasks and volume agreed upon in advance with time estimation - Focus on results, not just occupancy - Work on real AI tasks (not just 'API wrappers') - Direct influence on architecture, models, and product