G66 - Full Stack Engineer (GenAI , Chatbot)

Responsibilities Software Engineering & Platform DevelopmentDesign, develop, and maintain scalable, secure, and high-performance full-stack applications.Build and enhance backend services, APIs, and frontend applications using modern development frameworks.Develop and integrate AI-powered capabilities into enterprise-grade applications.Contribute to architecture and technical design discussions for search and AI-driven platforms.Implement robust software engineering practices to ensure maintainability, reliability, and performance.Search & Generative AI SolutionsCollaborate with technical teams to evaluate and implement emerging AI technologies.Support the transition of AI solutions from proof-of-concept to production-ready systems.Contribute to AI governance initiatives, including evaluation, observability, monitoring, and security controls.Develop solutions leveraging:Large Language Models (LLMs) such as Azure OpenAI and OpenAI APIsRetrieval-Augmented Generation (RAG)Semantic search and vector databasesModern search architectures and relevance optimisationDevOps, Quality & Engineering ExcellenceBuild and maintain CI/CD pipelines to support efficient software delivery.Implement automated testing strategies, including unit, integration, and performance testing.Support DevOps practices, release automation, and infrastructure improvements.Troubleshoot technical issues and contribute to continuous improvement initiatives.Participate in code reviews and promote engineering best practices such as:Test-Driven Development (TDD)Pair ProgrammingRefactoringContinuous Integration and Continuous Delivery (CI/CD)Collaboration & Stakeholder EngagementWork closely with Product Owners, Business Analysts, UX Designers, and Delivery Managers to deliver business outcomes.Participate in technical discussions, solution estimation, and feasibility assessments.Collaborate with cross-functional teams to deliver high-quality solutions that meet user and business needs.Contribute to knowledge sharing and support the growth of engineering capabilities across the team.Requirements5+ years of experience in software engineering and web application development.Experience building and deploying scalable distributed applications.Familiarity with modern software architecture patterns and API design principles.Strong hands on experience with Node.js, TypeScript, Cloud platforms (Azure, AWS, or GCP), SQL and NoSQL databases, CI/CD pipelines, DevOps practicesSearch & AI ExperienceExperience working with one or more of the following:Search engines and search architecturesSemantic search or vector search technologiesRetrieval-Augmented Generation (RAG)LLM-powered applicationsUnderstanding of AI application challenges, including:Latency and performance optimisationCost managementHallucination mitigationPrompt engineeringModel evaluation and monitoring