AI Engineer

About Asite

We start with a simple idea: the built environment should be smarter, safer and more sustainable. Everything we do is about helping the people behind major construction and infrastructure projects work together more easily and make better decisions.

Asite offers a cloud-based platform that connects project teams, improves collaboration and manages data from the first design to the final handover. Industry leaders such as Laing O'Rourke, Transport for London, MTA New York and Aldar use Asite to keep their projects running smoothly and delivering strong results.

With offices around the world and a record of steady, profitable growth, we are shaping the future of construction technology while supporting the people who build the world around us.

The Role

You'll work across our cloud ecosystem to build scalable AI pipelines, vector search systems, and LLM-powered features. You will design end-to-end workflows ingestion, embeddings, retrieval, inference and ensure our models run efficiently at enterprise scale.

What You'll Work On

• Build and deploy AI/LLM pipelines on

  Vertex AI

  and

  Azure AI

• Develop vector search architecture (global index + user-level sub-collections)
• Create ingestion workflows for documents, files, and structured data
• Design embedding pipelines (batch + streaming)
• Implement metadata filtering, ACL logic, and hybrid search
• Deploy inference endpoints (GPU/CPU autoscaling on GCP/Azure)
• Integrate AI layers with existing backend APIs
• Monitor performance, quotas, and scaling for AI services

What You Bring

• 3+ years as an AI/ML/LLM engineer
• Hands-on experience with

  Vertex AI

  ,

  Azure AI Studio

  , or Azure ML
• Strong Python (PyTorch, Transformers, FastAPI)
• Experience with

  vector databases / vector search systems

• Understanding of

  RAG

  , embeddings, hybrid search
• Cloud-native deployment (Cloud Run, Functions, Pub/Sub, Event Grid)

Nice to Have

• OpenAI / Azure OpenAI / Gemini experience
• GPU optimisation (T4, L4, A40)
• CI/CD for ML systems
• Kubernetes exposure

Why Join Us

• Fully remote role
• Opportunity to shape AI architecture from the ground up
• A role with big ownership and visible impact
• Modern cloud stack (GCP + Azure + LLMs)
• Strong team, supportive culture, and room to grow