Cloud AI Platform Engineer

Projects This role focuses on designing and operating the cloud foundation required for an AI-enabled web platform. You will build and scale infrastructure to support technical and documentary bidding processes, ensuring high performance, security, and traceability. Working in a collaborative engineering cell, you will bridge the gap between traditional cloud infrastructure and modern AI capabilities. As a senior engineer, you will drive architecture decisions, deploy APIs, manage data pipelines, and integrate LLM-based services on GCP. You will work closely with data and innovation teams to co-construct scalable solutions, document technical decisions, and mentor internal team members on cloud and AI platform best practices. Functions - Design and implement secure, scalable cloud architecture on GCP for an internal AI-enabled web platform. - Deploy and maintain infrastructure for APIs, backend services, AI agent workflows, and supporting data pipelines. - Define and enforce cloud security practices, IAM controls, secrets management, and platform logging. - Collaborate with technology, data, and engineering teams to resolve technical blockers and align on architectural decisions. - Document technical solutions and facilitate knowledge transfer to internal team members. Requirements - 5+ years of professional experience in cloud engineering or platform engineering. - Proven experience designing and deploying cloud architecture on Google Cloud Platform (GCP). - Production experience building and deploying AI applications, including agent-based workflows or LLM-powered systems. - Strong expertise in cloud security, IAM, secrets management, networking, logging, and monitoring. - Hands-on experience deploying APIs, backend applications, and containerized web platforms using CI/CD pipelines. - Experience with Vector Databases, LangChain, LlamaIndex, AI Observability, and Vertex. Benefits - Opportunity to participate in impactful and technically rigorous industrial data projects. - Flexibility in work location globally. - Investment in career development through ongoing training programs and leadership opportunities. - Potential for long-term collaboration and stable, full-time employment upon successful completion of the initial contract.