We're looking for experienced AI Platform Engineers who are passionate about designing and building scalable AI infrastructure, Agentic AI systems, and cloud-native platforms that power mission-critical enterprise applications.
What You'll Work On
• Enterprise Agentic AI Platforms & Multi-Agent Systems
• LLM Training, Fine-tuning, Evaluation & Inference Infrastructure
• RAG Pipelines, Knowledge Graphs & AI Memory Architectures
• Distributed Systems powered by Kubernetes & Docker
• High-performance Backend Services using Python & TypeScript
• GPU Infrastructure, Model Serving & AI Platform Optimization
• Cloud-native Platform Engineering, CI/CD, Infrastructure as Code & MLOps
What We're Looking For
✔ Hands-on experience building applications with LLMs, Agentic AI, and RAG architectures
✔ Strong expertise in Python, TypeScript, Kubernetes, Docker, and distributed systems
✔ Experience with Azure, AWS, or GCP and modern cloud-native engineering practices
✔ Knowledge of vector databases, model serving, AI orchestration frameworks, and platform reliability
✔ Engineers who enjoy solving complex technical challenges and building highly scalable AI platforms
LLMs
Agentic AI
RAG Architectures
Python
TypeScript
Kubernetes
Docker
AI Orchestration frameworks
Vector Databases
Model Serving