About this role
Location: Punggol Key Responsibilities • Design, develop, and implement new AI use cases and integrations for enterprise and cybersecurity platforms. • Build, customise, and maintain Model Context Protocol (MCP) servers and connectors from scratch. • Develop APIs, services, and integration layers enabling communication between AI agents, enterprise applications, and third-party tools. • Manage MCP configurations, workflows, and platform interoperability. • Collaborate with product, engineering, and cybersecurity teams to identify automation opportunities and AI-powered solutions. • Develop, test, and optimise agent orchestration workflows and tool integrations. • Troubleshoot integration issues and ensure reliability, security, and scalability of deployed solutions. Requirements • Degree in Computer Science, Software Engineering, Information Technology, or related discipline. • Experience in backend development using Python, Node.js, Java, or similar programming languages. • Familiarity with APIs, microservices, system integrations, and distributed systems. • Understanding of LLMs, Agentic AI frameworks, MCP (Model Context Protocol), or AI orchestration concepts. • Experience developing custom integrations, connectors, or middleware solutions. • Knowledge of cloud-native architectures, containers, and DevOps practices is advantageous. • Strong communication, troubleshooting, and solution design skills. By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy). This authorizes us to: • Contact you about potential opportunities. • Delete personal data as it is not required at this application stage. All applications will be processed with strict confidence. Only shortlisted candidates will be contacted. Elaine Wong (Zoe) l Outsourcing Team ScienTec Consulting Pte Ltd - 11C5781
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