AI/ML Engineer – Intelligent Systems & AI Infrastructure

Role Overview Design, develop, and deploy AI-driven backend systems that power intelligent features across a larger software platform. Build production-grade machine learning pipelines, conversational agents, and automation systems that integrate with internal tools and external AI services. Architect scalable AI infrastructure, implement model lifecycle management, and develop AI agents that automate workflows, process unstructured data, and enable advanced product capabilities. Key Responsibilities AI/ML System Development Design and implement AI agents and machine learning systems that power core product features. Develop conversational voice agents capable of real-time interaction using speech recognition, natural language understanding, and dialogue orchestration. Build LLM-powered systems for tasks such as document analysis, structured data extraction, contextual question answering, and automated decision support. Implement retrieval-augmented generation (RAG) p...