AI Infrastructure Engineer (Python)

Natural Links is evolving from a service-driven SEO agency into a technology-first platform.
We’re building the AI layer that powers automation, decision-making, and scalable growth.

Mission

Design and scale the AI infrastructure behind our platform – LLM orchestration, semantic systems, and data-driven automation for SEO at scale.

Impact

You will help build systems that:

• orchestrate and control LLM workflows (routing, caching, cost optimization)
• power semantic search and embeddings infrastructure
• automate SEO scoring and decision logic
• enable scalable backend and AI-driven product capabilities

What you will do:

• Design and build scalable Python backend services
• Develop LLM orchestration layers and integrations
• Build embeddings and semantic search systems
• Create ML-based scoring and automation pipelines
• Design REST and async APIs
• Work with data models and optimize database performance
• Improve architecture, scalability, and system reliability
• Contribute to CI/CD and production delivery workflows

Requirements

• 2+ years of Python backend engineering experience
• Production experience with FastAPI / Django / Flask
• Strong system design and software architecture mindset
• Hands-on experience with LLM APIs or embeddings
• Solid SQL and data modeling skills
• Understanding of async programming and concurrency
• Docker experience + AWS or GCP exposure
• Strong engineering fundamentals (SOLID, KISS, DRY)

Nice to have

• Vector databases (Pinecone, Weaviate, etc.)
• Redis, RabbitMQ, Celery
• Kubernetes / Terraform
• ML pipelines or applied ML experience
• High-load system experience
• SEO / MarTech / iGaming domain exposure

What we offer

• Remote-first international team
• High ownership and direct product impact
• Fast iteration, low bureaucracy environment
• Opportunity to build real AI infrastructure (not prototypes)
• 30 days of paid annual leave