AI System Engineer

Must Have 4–8 years of strong software/AI engineering experience . Hands-on experience with LLMs, GenAI, RAG, AI Agents, or ML systems . Strong Python + backend/API development skills. Experience designing distributed systems, cloud infrastructure, and scalable architectures . Knowledge of Docker/Kubernetes, AWS/Azure/GCP, APIs, databases, and vector databases . Strong system-design and architecture skills.

Important: This is an AI-tech-heavy engineering role , not a Data Analyst, Power BI, or reporting role. Candidates should have hands-on experience building and architecting AI system