AI Engineer

7 days ago

Amravati, India Asite Full time

About AsiteWe 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 RoleYou’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 OnBuild and deploy AI/LLM pipelines on Vertex AI and Azure AIDevelop vector search architecture (global index + user-level sub-collections)Create ingestion workflows for documents, files, and structured dataDesign embedding pipelines (batch + streaming)Implement metadata filtering, ACL logic, and hybrid searchDeploy inference endpoints (GPU/CPU autoscaling on GCP/Azure)Integrate AI layers with existing backend APIsMonitor performance, quotas, and scaling for AI servicesWhat You Bring3+ years as an AI/ML/LLM engineerHands-on experience with Vertex AI, Azure AI Studio, or Azure MLStrong Python (PyTorch, Transformers, FastAPI)Experience with vector databases / vector search systemsUnderstanding of RAG, embeddings, hybrid searchCloud-native deployment (Cloud Run, Functions, Pub/Sub, Event Grid)Nice to HaveOpenAI / Azure OpenAI / Gemini experienceGPU optimisation (T4, L4, A40)CI/CD for ML systemsKubernetes exposureWhy Join UsFully remote roleOpportunity to shape AI architecture from the ground upA role with big ownership and visible impactModern cloud stack (GCP + Azure + LLMs)Strong team, supportive culture, and room to grow

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