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
Ai Engineer • Vizianagaram, Andhra Pradesh, India