Next.js. Build secure, performant user interfaces that integrate with LLM APIs (e.g., Gemini, Azure OpenAI) and internal systems. Implement advanced front-end security features including token handling, session management, data masking, and audit logging. Translate UX/UI designs into modular, reusable components aligned with enterprise design systems. Integrate front-end applications with REST/GraphQL APIs, WebSockets, and … backend services. Collaborate with AI engineers, backend developers, and cloud architects to deliver end-to-end solutions. Ensure compliance with cybersecurity and dataprivacy standards through secure coding practices and regular code reviews. Deploy applications to GCP (Firebase, Cloud Run) and Azure App Services using CI/CD pipelines hardened for security and compliance. Participate in code … React, Next.js) and responsive UI development. Demonstrated ability to build front-end applications from scratch in greenfield or innovation lab settings. Experience developing interactive UIs, dashboards, chat interfaces, and data visualizations for AI-powered tools. Skilled in integrating front-end applications with APIs (REST, GraphQL, WebSockets) and backend services. Deep understanding of front-end security practices (e.g., OWASP, CSP More ❯
and implement secure AI services from lab to production, ensuring scalability and compliance Develop robust APIs for LLMs, RAG pipelines, agentic workflows and document intelligence systems Embed cybersecurity and dataprivacy controls across all AI workflows (e.g., encryption, anonymisation, access logging) Collaborate with the CISO function on threat modeling, security reviews, and AI-specific control design. Integrate … modular LLM agents with memory, planning, and tool integration Implemented Model Context Protocol (MCP) to manage secure, auditable context injection across agentic systems Experience building RAG pipelines with strict data governance and contextual integrity Familiarity with EU AI Act, FCA cybersecurity principles, and oversight of critical systems Worked directly with cybersecurity and compliance teams in regulated deployments Implemented or … Model Context Protocol (MCP) for managing contextual memory, grounding, and session control in LLM-based systems Enforce context boundary policies, context versioning, and traceability to support auditability and prevent data leakage Integrate MCP with enterprise IAM and data governance frameworks to ensure compliant context injection and revocation Agentic Workflows Design and orchestrate agentic AI workflows using modular, goal More ❯
cases across departments Designing and deploying AI agents and tools to automate tasks and optimize internal workflows. Integrating AI capabilities with existing systems and platforms. Leveraging proprietary and external data to develop, train, and fine-tune user-generated AI models. Ensuring all solutions meet rigorous standards for dataprivacy, security, and compliance. improving solutions based on More ❯
