#SGunited Jobs Senior AI Engineer

Job SummaryYou will design, develop, and maintain AI-driven workflows and integrations, collaborating with architects and engineers to deliver secure, scalable enterprise AI solutions that enhance user experience and operational efficiency.ResponsibilitiesBuild end-to-end AI, software, and automation workflows to meet enterprise needsDevelop and maintain AI solution integrations with enterprise systems using APIs, MCP, and related frameworksCollaborate with architects to define solution approaches and partner with software engineers for seamless system integrationEnhance and maintain user interfaces to improve usability and support continuous improvementDesign hybrid solutions combining backend, frontend, large language models (LLM), prompting, and robotic process automation (RPA) for human-in-the-loop workflowsMaintain middleware components including single sign-on (SSO), authentication, and authorization mechanismsMonitor production AI solutions by tracking KPIs and proactively resolving performance and reliability issuesImplement security best practices, establish fallback and backup strategies, and mitigate risks in AI deploymentsContinuously enhance existing solutions by integrating relevant AI capabilities across enterprise, consumer, IT, network, and corporate functions domainsSupport and optimize marketplace recommender systems by integrating updated offers and business rules smoothlyMonitor, troubleshoot, and improve production pipelines, backend and frontend applications, and AI services for reliability, performance, and scalabilityStay current with AI and agentic AI advancements and conduct applied research to enrich internal capabilitiesApply software engineering standards including modular code design, reproducibility, and rigorous testingAddress novel problems requiring research and development to create innovative AI solutionsBalance process and approval management with project timelines to ensure timely deliveryPreferred competencies and qualificationsBachelor’s or Master’s degree in Computer Science, Engineering, Data Science, AI/ML, or related field3-5 years of experience developing and deploying software and AI solutions, including exposure to agentic AI frameworksProficiency in Python, TypeScript/Node.js, and SQL for software developmentHands-on experience with AI frameworks such as LangChain or LangGraphKnowledge of LLM integration and orchestration techniquesExperience in prompt engineering for AI modelsSkilled in API development and integration, including RESTful, gRPC, and MCP protocolsFamiliarity with middleware systems including SSO and access control protocols like OAuth2 and JWTExperience with version control systems such as GitHub, GitLab, or BitbucketExposure to cloud platforms such as Azure, AWS, or Google Cloud PlatformPassion for applied research and development to advance AI capabilities and innovate production solutionsStrong problem-solving skills demonstrated through effective collaboration across cross-functional teamsExperience building secure, enterprise-grade system integrations